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  2024 (10)
Object detection method and apparatus, electronic device, and storage medium. Chen, Y. L.; Liu, S.; Shen, X. Y.; Tai, Y. W.; and Jia, J. Y. February 27 2024. US Patent 11,915,501
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Segment anything in high quality. Ke, L.; Ye, M.; Danelljan, M.; Tai, Y.; Tang, C.; Yu, F.; and others Advances in Neural Information Processing Systems, 36. 2024.
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Semantic image matting: General and specific semantics. Sun, Y.; Tang, C.; and Tai, Y. International Journal of Computer Vision, 132(3): 710–730. 2024.
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BiMatting: Efficient Video Matting via Binarization. Qin, H.; Ke, L.; Ma, X.; Danelljan, M.; Tai, Y.; Tang, C.; Liu, X.; and Yu, F. Advances in Neural Information Processing Systems, 36. 2024.
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FED-NeRF: Achieve High 3D Consistency and Temporal Coherence for Face Video Editing on Dynamic NeRF. Zhang, H.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2401.02616. 2024.
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FaceDNeRF: semantics-driven face reconstruction, prompt editing and relighting with diffusion models. Zhang, H.; Dai, T.; Xu, Y.; Tai, Y.; and Tang, C. Advances in Neural Information Processing Systems, 36. 2024.
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FSODv2: A Deep Calibrated Few-Shot Object Detection Network. Fan, Q.; Zhuo, W.; Tang, C.; and Tai, Y. International Journal of Computer Vision,1–20. 2024.
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MotionLLM: Multimodal Motion-Language Learning with Large Language Models. Wu, Q.; Zhao, Y.; Wang, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2405.17013. 2024.
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C3LLM: Conditional Multimodal Content Generation Using Large Language Models. Wang, Z.; Duan, Q.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2405.16136. 2024.
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Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling. Liu, X.; Tai, Y.; Tang, C.; Miraldo, P.; Lohit, S.; and Chatterjee, M. arXiv preprint arXiv:2406.03723. 2024.
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  2023 (30)
Image enhancement method and apparatus, and storage medium. Ruixing, W.; Tao, X.; Shen, X.; Jia, J.; and Yuwing, T. October 17 2023. US Patent 11,790,497
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Video caption generating method and apparatus, device, and storage medium. Wenjie, P.; Zhang, J.; Ke, L.; Yuwing, T.; Shen, X.; Jia, J.; and Wang, X. August 29 2023. US Patent 11,743,551
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Training method for image processing model, image processing method, network device, and storage medium. Hongyun, G.; Tao, X.; Jia, J.; Yuwing, T.; and Shen, X. August 29 2023. US Patent 11,741,581
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Target tracking method and apparatus, storage medium, and electronic device. Sun, C.; Sun, Y.; Lu, H.; Shen, X.; Yuwing, T.; and Jia, J. March 21 2023. US Patent 11,610,321
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Occlusion-aware instance segmentation via bilayer network architectures. Ke, L.; Tai, Y.; and Tang, C. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.
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Nerf-rpn: A general framework for object detection in nerfs. Hu, B.; Huang, J.; Liu, Y.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 23528–23538, 2023.
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Towards robust object detection invariant to real-world domain shifts. Fan, Q.; Segu, M.; Tai, Y.; Yu, F.; Tang, C.; Schiele, B.; and Dai, D. In The Eleventh International Conference on Learning Representations (ICLR 2023), 2023. OpenReview
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Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations. Liu, X.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2303.14707. 2023.
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Mask-free video instance segmentation. Ke, L.; Danelljan, M.; Ding, H.; Tai, Y.; Tang, C.; and Yu, F. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 22857–22866, 2023.
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GCoNet+: A stronger group collaborative co-salient object detector. Zheng, P.; Fu, H.; Fan, D.; Fan, Q.; Qin, J.; Tai, Y.; Tang, C.; and Van Gool, L. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.
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Instance neural radiance field. Liu, Y.; Hu, B.; Huang, J.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 787–796, 2023.
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Ultrahigh resolution image/video matting with spatio-temporal sparsity. Sun, Y.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14112–14121, 2023.
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Compression-aware video super-resolution. Wang, Y.; Isobe, T.; Jia, X.; Tao, X.; Lu, H.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2012–2021, 2023.
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Registering Neural Radiance Fields as 3D Density Images. Jiang, H.; Li, R.; Sun, H.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2305.12843. 2023.
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Deceptive-nerf: Enhancing nerf reconstruction using pseudo-observations from diffusion models. Liu, X.; Chen, J.; Kao, S.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2305.15171. 2023.
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Distill gold from massive ores: Efficient dataset distillation via critical samples selection. Xu, Y.; Li, Y.; Cui, K.; Wang, Z.; Lu, C.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2305.18381. 2023.
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UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks. Sun, Y.; Zhong, Z.; Fan, Q.; Tang, C.; and Tai, Y. arXiv preprint arXiv:2306.04715. 2023.
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Segment anything meets point tracking. Rajič, F.; Ke, L.; Tai, Y.; Tang, C.; Danelljan, M.; and Yu, F. arXiv preprint arXiv:2307.01197. 2023.
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Cascade-DETR: Delving into High-Quality Universal Object Detection. Ye, M.; Ke, L.; Li, S.; Tai, Y.; Tang, C.; Danelljan, M.; and Yu, F. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 6704–6714, 2023.
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Feature Decoupling-Recycling Network for Fast Interactive Segmentation. Zeng, H.; Wang, W.; Tao, X.; Xiong, Z.; Tai, Y.; and Pei, W. In Proceedings of the 31st ACM International Conference on Multimedia, pages 6665–6675, 2023.
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Scene-Generalizable Interactive Segmentation of Radiance Fields. Tang, S.; Pei, W.; Tao, X.; Jia, T.; Lu, G.; and Tai, Y. In Proceedings of the 31st ACM International Conference on Multimedia, pages 6744–6755, 2023.
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EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding. Xu, Y.; Li, Y.; Huang, Z.; Liu, M. X.; Lu, C.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 5273–5284, 2023.
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Stable Segment Anything Model. Fan, Q.; Tao, X.; Ke, L.; Ye, M.; Zhang, Y.; Wan, P.; Wang, Z.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2311.15776. 2023.
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Deceptive-Human: Prompt-to-NeRF 3D Human Generation with 3D-Consistent Synthetic Images. Kao, S.; Liu, X.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2311.16499. 2023.
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C3Net: Compound Conditioned ControlNet for Multimodal Content Generation. Zhang, J.; Liu, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2311.17951. 2023.
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SANeRF-HQ: Segment Anything for NeRF in High Quality. Liu, Y.; Hu, B.; Tang, C.; and Tai, Y. arXiv preprint arXiv:2312.01531. 2023.
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Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent. Liu, J.; Zhang, Y.; Meng, Z.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2312.02568. 2023.
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Dragvideo: Interactive drag-style video editing. Deng, Y.; Wang, R.; Zhang, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2312.02216. 2023.
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Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models. Jiang, H.; Sun, H.; Li, R.; Tang, C.; and Tai, Y. arXiv preprint arXiv:2401.00208. 2023.
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UniBoost: Boost Zero-shot Vision-Language Tasks via Multitask Fine-tuning with Unsupervised Unimodal Pre-training. Yanan, S.; Fan, Q.; Zhong, Z.; Tang, C.; and Tai, Y. . 2023.
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  2022 (26)
Few-shot video object detection. Fan, Q.; Tang, C.; and Tai, Y. In European Conference on Computer Vision, pages 76–98, 2022. Springer Nature Switzerland Cham
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Mask transfiner for high-quality instance segmentation. Ke, L.; Danelljan, M.; Li, X.; Tai, Y.; Tang, C.; and Yu, F. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4412–4421, 2022.
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Transcoded video restoration by temporal spatial auxiliary network. Xu, L.; He, G.; Zhou, J.; Lei, J.; Xie, W.; Li, Y.; and Tai, Y. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, pages 2875–2883, 2022.
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HAA4D: few-shot human atomic action recognition via 3D spatio-temporal skeletal alignment. Tseng, M.; Gupta, A.; Tang, C.; and Tai, Y. arXiv preprint arXiv:2202.07308. 2022.
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Dual convolutional neural networks for low-level vision. Pan, J.; Sun, D.; Zhang, J.; Tang, J.; Yang, J.; Tai, Y.; and Yang, M. International Journal of Computer Vision, 130(6): 1440–1458. 2022.
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Look back and forth: Video super-resolution with explicit temporal difference modeling. Isobe, T.; Jia, X.; Tao, X.; Li, C.; Li, R.; Shi, Y.; Mu, J.; Lu, H.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 17411–17420, 2022.
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Interactiveness field in human-object interactions. Liu, X.; Li, Y.; Wu, X.; Tai, Y.; Lu, C.; and Tang, C. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 20113–20122, 2022.
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Human instance matting via mutual guidance and multi-instance refinement. Sun, Y.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2647–2656, 2022.
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Nerf-sr: High quality neural radiance fields using supersampling. Wang, C.; Wu, X.; Guo, Y.; Zhang, S.; Tai, Y.; and Hu, S. In Proceedings of the 30th ACM International Conference on Multimedia, pages 6445–6454, 2022.
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NTIRE 2022 image inpainting challenge: Report. Romero, A.; Castillo, A.; Abril-Nova, J.; Timofte, R.; Das, R.; Hira, S.; Pan, Z.; Zhang, M.; Li, B.; He, D.; and others In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1150–1182, 2022.
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Image multi-inpainting via progressive generative adversarial networks. Cai, J.; Li, C.; Tao, X.; and Tai, Y. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 978–987, 2022.
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Image processing method and device, storage medium and electronic device. Tao, X.; Gao, H. Y.; Shen, X. Y.; Tai, Y. W.; and Jia, J. Y. June 7 2022. US Patent 11,354,785
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Learning Sequence Representations by Non-local Recurrent Neural Memory. Pei, W.; Feng, X.; Fu, C.; Cao, Q.; Lu, G.; and Tai, Y. International Journal of Computer Vision, 130(10): 2532–2552. 2022.
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Depth image generation method, apparatus, and storage medium and electronic device. Zhang, R.; Hongwei, Y.; Chen, Y.; Xu, S.; and Tai, Y. W. July 21 2022. US Patent App. 17/714,654
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Self-support few-shot semantic segmentation. Fan, Q.; Pei, W.; Tai, Y.; and Tang, C. In European Conference on Computer Vision, pages 701–719, 2022. Springer Nature Switzerland Cham
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Video mask transfiner for high-quality video instance segmentation. Ke, L.; Ding, H.; Danelljan, M.; Tai, Y.; Tang, C.; and Yu, F. In European Conference on Computer Vision, pages 731–747, 2022. Springer Nature Switzerland Cham
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SDRTV-to-HDRTV via hierarchical dynamic context feature mapping. He, G.; Xu, K.; Xu, L.; Wu, C.; Sun, M.; Wen, X.; and Tai, Y. In Proceedings of the 30th ACM International Conference on Multimedia, pages 2890–2898, 2022.
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Devit: Deformed vision transformers in video inpainting. Cai, J.; Li, C.; Tao, X.; Yuan, C.; and Tai, Y. In Proceedings of the 30th ACM International Conference on Multimedia, pages 779–789, 2022.
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Unsupervised multi-view object segmentation using radiance field propagation. Liu, X.; Chen, J.; Yu, H.; Tai, Y.; and Tang, C. Advances in Neural Information Processing Systems, 35: 17730–17743. 2022.
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Scene text image super-resolution via content perceptual loss and criss-cross transformer blocks. Qin, R.; Wang, B.; and Tai, Y. arXiv preprint arXiv:2210.06924. 2022.
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Few-shot object detection with model calibration. Fan, Q.; Tang, C.; and Tai, Y. In European Conference on Computer Vision, pages 720–739, 2022. Springer Nature Switzerland Cham
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Sdrtv-to-hdrtv conversion via spatial-temporal feature fusion. Xu, K.; Xu, L.; He, G.; Wu, C.; Ma, Z.; Sun, M.; and Tai, Y. arXiv preprint arXiv:2211.02297. 2022.
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FLNeRF: 3D Facial Landmarks Estimation in Neural Radiance Fields. Zhang, H.; Dai, T.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2211.11202. 2022.
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H-vfi: Hierarchical frame interpolation for videos with large motions. Li, C.; Wu, G.; Sun, Y.; Tao, X.; Tang, C.; and Tai, Y. arXiv preprint arXiv:2211.11309. 2022.
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Onerf: Unsupervised 3d object segmentation from multiple views. Liang, S.; Liu, Y.; Wu, S.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2211.12038. 2022.
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How Normalization and Weight Decay Can Affect SGD? Insights from a Simple Normalized Model. Wan, R.; Wang, Q.; Zhang, X.; Tai, Y.; Sun, J.; and Tang, C. . 2022.
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  2021 (13)
Haa500: Human-centric atomic action dataset with curated videos. Chung, J.; Wuu, C.; Yang, H.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF international conference on computer vision, pages 13465–13474, 2021.
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An accurate and lightweight method for human body image super-resolution. Liu, Y.; Zhang, S.; Xu, J.; Yang, J.; and Tai, Y. IEEE Transactions on Image Processing, 30: 2888–2897. 2021.
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Prin/sprin: On extracting point-wise rotation invariant features. You, Y.; Lou, Y.; Shi, R.; Liu, Q.; Tai, Y.; Ma, L.; Wang, W.; and Lu, C. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12): 9489–9502. 2021.
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Group collaborative learning for co-salient object detection. Fan, Q.; Fan, D.; Fu, H.; Tang, C.; Shao, L.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12288–12298, 2021.
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Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion. Cheng, H. K.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5559–5568, 2021.
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Deep occlusion-aware instance segmentation with overlapping bilayers. Ke, L.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 4019–4028, 2021.
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Semantic image matting. Sun, Y.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11120–11129, 2021.
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Deep video matting via spatio-temporal alignment and aggregation. Sun, Y.; Wang, G.; Gu, Q.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6975–6984, 2021.
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Rethinking space-time networks with improved memory coverage for efficient video object segmentation. Cheng, H. K.; Tai, Y.; and Tang, C. Advances in Neural Information Processing Systems, 34: 11781–11794. 2021.
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Prototypical cross-attention networks for multiple object tracking and segmentation. Ke, L.; Li, X.; Danelljan, M.; Tai, Y.; Tang, C.; and Yu, F. Advances in Neural Information Processing Systems, 34: 1192–1203. 2021.
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Occlusion-aware video object inpainting. Ke, L.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 14468–14478, 2021.
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Hierarchical generation of human pose with part-based layer representation. Wu, X.; Li, C.; Hu, S.; and Tai, Y. IEEE Transactions on Image Processing, 30: 7856–7866. 2021.
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Hybrid face reflectance, illumination, and shape from a single image. Zhu, Y.; Li, C.; Li, S.; Shi, B.; and Tai, Y. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9): 5002–5015. 2021.
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  2020 (22)
Deblurring. Tai, Y.; and Pan, J. In Computer Vision: A Reference Guide, pages 1–5. Springer International Publishing Cham, 2020.
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Physics-based generative adversarial models for image restoration and beyond. Pan, J.; Dong, J.; Liu, Y.; Zhang, J.; Ren, J.; Tang, J.; Tai, Y.; and Yang, M. IEEE transactions on pattern analysis and machine intelligence, 43(7): 2449–2462. 2020.
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Pointwise rotation-invariant network with adaptive sampling and 3d spherical voxel convolution. You, Y.; Lou, Y.; Liu, Q.; Tai, Y.; Ma, L.; Lu, C.; and Wang, W. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pages 12717–12724, 2020.
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Fss-1000: A 1000-class dataset for few-shot segmentation. Li, X.; Wei, T.; Chen, Y. P.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2869–2878, 2020.
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Few-shot object detection with attention-RPN and multi-relation detector. Fan, Q.; Zhuo, W.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 4013–4022, 2020.
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Pyramid multi-view stereo net with self-adaptive view aggregation. Yi, H.; Wei, Z.; Ding, M.; Zhang, R.; Chen, Y.; Wang, G.; and Tai, Y. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IX 16, pages 766–782, 2020. Springer International Publishing
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Spatial-Scale Aligned Network for Fine-Grained Recognition. Gao, L.; Xu, H.; Sun, C.; Liu, J.; and Tai, Y. arXiv preprint arXiv:2001.01211. 2020.
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Push for center learning via orthogonalization and subspace masking for person re-identification. Wang, W.; Pei, W.; Cao, Q.; Liu, S.; Lu, G.; and Tai, Y. IEEE Transactions on Image Processing, 30: 907–920. 2020.
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Cascadepsp: Toward class-agnostic and very high-resolution segmentation via global and local refinement. Cheng, H. K.; Chung, J.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8890–8899, 2020.
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One-shot object detection without fine-tuning. Li, X.; Zhang, L.; Chen, Y. P.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2005.03819. 2020.
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Cascaded deep monocular 3d human pose estimation with evolutionary training data. Li, S.; Ke, L.; Pratama, K.; Tai, Y.; Tang, C.; and Cheng, K. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 6173–6183, 2020.
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Fast video object segmentation with temporal aggregation network and dynamic template matching. Huang, X.; Xu, J.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8879–8889, 2020.
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Towards global explanations of convolutional neural networks with concept attribution. Wu, W.; Su, Y.; Chen, X.; Zhao, S.; King, I.; Lyu, M. R; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8652–8661, 2020.
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Learning video object segmentation from unlabeled videos. Lu, X.; Wang, W.; Shen, J.; Tai, Y.; Crandall, D. J; and Hoi, S. C. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8960–8970, 2020.
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Boosting the transferability of adversarial samples via attention. Wu, W.; Su, Y.; Chen, X.; Zhao, S.; King, I.; Lyu, M. R; and Tai, Y. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 1161–1170, 2020.
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Blur Estimation. Tai, Y.; and Pan, J. Computer Vision: A Reference Guide,1–5. 2020.
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Dense hybrid recurrent multi-view stereo net with dynamic consistency checking. Yan, J.; Wei, Z.; Yi, H.; Ding, M.; Zhang, R.; Chen, Y.; Wang, G.; and Tai, Y. In European conference on computer vision, pages 674–689, 2020. Springer International Publishing Cham
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Gsnet: Joint vehicle pose and shape reconstruction with geometrical and scene-aware supervision. Ke, L.; Li, S.; Sun, Y.; Tai, Y.; and Tang, C. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XV 16, pages 515–532, 2020. Springer International Publishing
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Commonality-parsing network across shape and appearance for partially supervised instance segmentation. Fan, Q.; Ke, L.; Pei, W.; Tang, C.; and Tai, Y. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16, pages 379–396, 2020. Springer International Publishing
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Fully convolutional networks for continuous sign language recognition. Cheng, K. L.; Yang, Z.; Chen, Q.; and Tai, Y. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV 16, pages 697–714, 2020. Springer International Publishing
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Pose-guided high-resolution appearance transfer via progressive training. Liu, J.; Liu, H.; Chiu, M.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2008.11898. 2020.
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Semi-supervised few-shot atomic action recognition. Ni, X.; Song, S.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2011.08410. 2020.
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  2019 (14)
Adversarial attacks beyond the image space. Zeng, X.; Liu, C.; Wang, Y.; Qiu, W.; Xie, L.; Tai, Y.; Tang, C.; and Yuille, A. L In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4302–4311, 2019.
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Ladn: Local adversarial disentangling network for facial makeup and de-makeup. Gu, Q.; Wang, G.; Chiu, M. T.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF International conference on computer vision, pages 10481–10490, 2019.
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Memory-attended recurrent network for video captioning. Pei, W.; Zhang, J.; Wang, X.; Ke, L.; Shen, X.; and Tai, Y. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8347–8356, 2019.
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Mmface: A multi-metric regression network for unconstrained face reconstruction. Yi, H.; Li, C.; Cao, Q.; Shen, X.; Li, S.; Wang, G.; and Tai, Y. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 7663–7672, 2019.
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Landmark assisted cyclegan for cartoon face generation. Wu, R.; Gu, X.; Tao, X.; Shen, X.; Tai, Y.; and others arXiv preprint arXiv:1907.01424. 2019.
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Stablenet: semi-online, multi-scale deep video stabilization. Huang, C.; Yin, H.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1907.10283. 2019.
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DAWN: Dual augmented memory network for unsupervised video object tracking. Shi, Z.; Fang, H.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1908.00777. 2019.
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Sf-net: Structured feature network for continuous sign language recognition. Yang, Z.; Shi, Z.; Shen, X.; and Tai, Y. arXiv preprint arXiv:1908.01341. 2019.
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Cross-domain adaptation for animal pose estimation. Cao, J.; Tang, H.; Fang, H.; Shen, X.; Lu, C.; and Tai, Y. In Proceedings of the IEEE/CVF international conference on computer vision, pages 9498–9507, 2019.
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Non-local recurrent neural memory for supervised sequence modeling. Fu, C.; Pei, W.; Cao, Q.; Zhang, C.; Zhao, Y.; Shen, X.; and Tai, Y. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 6311–6320, 2019.
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Orthogonal center learning with subspace masking for person re-identification. Wang, W.; Pei, W.; Cao, Q.; Liu, S.; Shen, X.; and Tai, Y. arXiv preprint arXiv:1908.10535. 2019.
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Reflective decoding network for image captioning. Ke, L.; Pei, W.; Li, R.; Shen, X.; and Tai, Y. In Proceedings of the IEEE/CVF international conference on computer vision, pages 8888–8897, 2019.
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Parametric human shape reconstruction via bidirectional silhouette guidance. Sun, S.; Li, C.; Guo, Z.; and Tai, Y. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, pages 0–0, 2019.
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Aim 2019 challenge on image extreme super-resolution: Methods and results. Gu, S.; Danelljan, M.; Timofte, R.; Haris, M.; Akita, K.; Shakhnarovic, G.; Ukita, N.; Michelini, P. N.; Chen, W.; Liu, H.; and others In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pages 3556–3564, 2019. IEEE
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  2018 (10)
Deep video generation, prediction and completion of human action sequences. Cai, H.; Bai, C.; Tai, Y.; and Tang, C. In Proceedings of the European conference on computer vision (ECCV), pages 366–382, 2018.
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Depth from a light field image with learning-based matching costs. Jeon, H.; Park, J.; Choe, G.; Park, J.; Bok, Y.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 41(2): 297–310. 2018.
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Weakly and semi supervised human body part parsing via pose-guided knowledge transfer. Fang, H.; Lu, G.; Fang, X.; Xie, J.; Tai, Y.; and Lu, C. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018.
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Learning dual convolutional neural networks for low-level vision. Pan, J.; Liu, S.; Sun, D.; Zhang, J.; Liu, Y.; Ren, J.; Li, Z.; Tang, J.; Lu, H.; Tai, Y.; and others In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 3070–3079, 2018.
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Pairwise body-part attention for recognizing human-object interactions. Fang, H.; Cao, J.; Tai, Y.; and Lu, C. In Proceedings of the European conference on computer vision (ECCV), pages 51–67, 2018.
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Image generation from sketch constraint using contextual gan. Lu, Y.; Wu, S.; Tai, Y.; and Tang, C. In Proceedings of the European conference on computer vision (ECCV), pages 205–220, 2018.
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Attribute-guided face generation using conditional cyclegan. Lu, Y.; Tai, Y.; and Tang, C. In Proceedings of the European conference on computer vision (ECCV), pages 282–297, 2018.
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Deep high dynamic range imaging with large foreground motions. Wu, S.; Xu, J.; Tai, Y.; and Tang, C. In Proceedings of the European Conference on Computer Vision (ECCV), pages 117–132, 2018.
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Deep convolutional neural network for natural image matting using initial alpha mattes. Cho, D.; Tai, Y.; and Kweon, I. S. IEEE Transactions on Image Processing, 28(3): 1054–1067. 2018.
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Semi-calibrated photometric stereo. Cho, D.; Matsushita, Y.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 42(1): 232–245. 2018.
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  2017 (15)
Refining geometry from depth sensors using IR shading images. Choe, G.; Park, J.; Tai, Y.; and Kweon, I. S. International Journal of Computer Vision, 122: 1–16. 2017.
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Fast randomized singular value thresholding for low-rank optimization. Oh, T.; Matsushita, Y.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 40(2): 376–391. 2017.
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Category-Specific Salient View Selection via Deep Convolutional Neural Networks. Kim, S.; Tai, Y.; Lee, J.; Park, J.; and Kweon, I. S. In Computer graphics forum, volume 36, pages 313–328, 2017.
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Accurate single stage detector using recurrent rolling convolution. Ren, J.; Chen, X.; Liu, J.; Sun, W.; Pang, J.; Yan, Q.; Tai, Y.; and Xu, L. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 5420–5428, 2017.
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A unified approach of multi-scale deep and hand-crafted features for defocus estimation. Park, J.; Tai, Y.; Cho, D.; and So Kweon, I. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1736–1745, 2017.
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Pca based computation of illumination-invariant space for road detection. Kim, T.; Tai, Y.; and Yoon, S. In 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), pages 632–640, 2017. IEEE
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Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs. Xiao, Q.; Liang, Y.; Lu, L.; Yan, S.; and Tai, Y. In Proceedings of the 54th Annual Design Automation Conference 2017, pages 1–6, 2017.
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Weakly-and self-supervised learning for content-aware deep image retargeting. Cho, D.; Park, J.; Oh, T.; Tai, Y.; and So Kweon, I. In Proceedings of the IEEE international conference on computer vision, pages 4558–4567, 2017.
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A taxonomy and evaluation of dense light field depth estimation algorithms. Johannsen, O.; Honauer, K.; Goldluecke, B.; Alperovich, A.; Battisti, F.; Bok, Y.; Brizzi, M.; Carli, M.; Choe, G.; Diebold, M.; and others In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pages 82–99, 2017.
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ELD-net: An efficient deep learning architecture for accurate saliency detection. Lee, G.; Tai, Y.; and Kim, J. IEEE transactions on pattern analysis and machine intelligence, 40(7): 1599–1610. 2017.
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Image dehazing using bilinear composition loss function. Yang, H.; Pan, J.; Yan, Q.; Sun, W.; Ren, J.; and Tai, Y. arXiv preprint arXiv:1710.00279. 2017.
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MAVOT: Memory-augmented video object tracking. Liu, B.; Wang, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1711.09414. 2017.
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RMPE: Regional multi-person pose estimation. Fang, H.; Xie, S.; Tai, Y.; and Lu, C. In 2017 IEEE International Conference on Computer Vision (ICCV), 2017.
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Learning discriminative data fitting functions for blind image deblurring. Pan, J.; Dong, J.; Tai, Y.; Su, Z.; and Yang, M. In Proceedings of the IEEE International Conference on Computer Vision, pages 1068–1076, 2017.
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DHDE CVPR17 Save. Park, J.; Tai, Y.; Cho, D.; and Kweon, I. S. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
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  2016 (11)
Robust all-in-focus super-resolution for focal stack photography. Lee, M.; and Tai, Y. IEEE Transactions on Image Processing, 25(4): 1887–1897. 2016.
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Efficient and robust color consistency for community photo collections. Park, J.; Tai, Y.; Sinha, S. N; and So Kweon, I. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 430–438, 2016.
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Deep saliency with encoded low level distance map and high level features. Lee, G.; Tai, Y.; and Kim, J. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 660–668, 2016.
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Look, listen and learn—A multimodal LSTM for speaker identification. Ren, J.; Hu, Y.; Tai, Y.; Wang, C.; Xu, L.; Sun, W.; and Yan, Q. In Proceedings of the AAAI conference on artificial intelligence, volume 30, 2016.
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Multi-view object extraction with fractional boundaries. Kim, S.; Tai, Y.; Park, J.; and Kweon, I. S. IEEE Transactions on Image Processing, 25(8): 3639–3654. 2016.
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Network trimming: A data-driven neuron pruning approach towards efficient deep architectures. Hu, H.; Peng, R.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1607.03250. 2016.
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Automatic trimap generation and consistent matting for light-field images. Cho, D.; Kim, S.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 39(8): 1504–1517. 2016.
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Natural image matting using deep convolutional neural networks. Cho, D.; Tai, Y.; and Kweon, I. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, pages 626–643, 2016. Springer International Publishing
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Photometric stereo under non-uniform light intensities and exposures. Cho, D.; Matsushita, Y.; Tai, Y.; and Kweon, I. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, pages 170–186, 2016. Springer International Publishing
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Robust multiview photometric stereo using planar mesh parameterization. Park, J.; Sinha, S. N; Matsushita, Y.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 39(8): 1591–1604. 2016.
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Asymmetric stereo with catadioptric lens: High quality image generation for intelligent robot. Cho, D.; Park, J.; Tai, Y.; and Kweon, I. In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pages 240–242, 2016. IEEE
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  2015 (8)
Partial sum minimization of singular values in robust PCA: Algorithm and applications. Oh, T.; Tai, Y.; Bazin, J.; Kim, H.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 38(4): 744–758. 2015.
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A simulation based method for vehicle motion prediction. Park, J.; and Tai, Y. Computer Vision and Image Understanding, 136: 79–91. 2015.
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Fast randomized singular value thresholding for nuclear norm minimization. Oh, T.; Matsushita, Y.; Tai, Y.; and So Kweon, I. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4484–4493, 2015.
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Data-driven depth map refinement via multi-scale sparse representation. Kwon, H.; Tai, Y.; and Lin, S. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 159–167, 2015.
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Accurate depth map estimation from a lenslet light field camera. Jeon, H.; Park, J.; Choe, G.; Park, J.; Bok, Y.; Tai, Y.; and So Kweon, I. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1547–1555, 2015.
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Salient region detection via high-dimensional color transform and local spatial support. Kim, J.; Han, D.; Tai, Y.; and Kim, J. IEEE transactions on image processing, 25(1): 9–23. 2015.
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RGB-guided hyperspectral image upsampling. Kwon, H.; and Tai, Y. In Proceedings of the IEEE International Conference on Computer Vision, pages 307–315, 2015.
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Image denoising via coded aperture photography. Lee, M.; and Tai, Y. In 2015 IEEE International Conference on Image Processing (ICIP), pages 2000–2004, 2015. IEEE
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  2014 (11)
Salient Region Detection via High-Dimensional Color Transform. Kim, J.; Han, D.; Tai, Y.; and Kim, J. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014.
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Calibrating a Non-isotropic Near Point Light Source using a Plane. Park, J.; Sinha, S. N; Matsushita, Y.; Tai, Y.; and Kweon, I. S. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014.
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Hybrid-imaging for motion deblurring. Ben-Ezra, M.; Tai, Y.; Brown, M. S; and Nayar, S. K 2014.
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A randomized algorithm for natural object colorization. Jin, S.; Choi, H.; and Tai, Y. In Computer Graphics Forum, volume 33, pages 205–214, 2014.
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Accurate and real-time depth video acquisition using Kinect–stereo camera fusion. Williem; Tai, Y.; and Park, I. K. Optical Engineering, 53(4): 043110–043110. 2014.
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Hierarchical nonrigid model for 3D medical image registration. Kim, S.; and Tai, Y. In 2014 IEEE International Conference on Image Processing (ICIP), pages 3562–3566, 2014. IEEE
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Consistent matting for light field images. Cho, D.; Kim, S.; and Tai, Y. In Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV 13, pages 90–104, 2014. Springer International Publishing
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Robust pan-sharpening via color samples relocation and edge aware interpolation. Lee, M.; Choi, M.; and Tai, Y. In 2014 IEEE International Conference on Image Processing (ICIP), pages 4607–4611, 2014. IEEE
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High-quality depth map upsampling and completion for RGB-D cameras. Park, J.; Kim, H.; Tai, Y.; Brown, M. S; and Kweon, I. S. IEEE Transactions on Image Processing, 23(12): 5559–5572. 2014.
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Robust high dynamic range imaging by rank minimization. Oh, T.; Lee, J.; Tai, Y.; and Kweon, I. S. IEEE transactions on pattern analysis and machine intelligence, 37(6): 1219–1232. 2014.
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Exploiting shading cues in kinect ir images for geometry refinement. Choe, G.; Park, J.; Tai, Y.; and So Kweon, I. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3922–3929, 2014.
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  2013 (10)
A 3D imaging framework based on high-resolution photometric-stereo and low-resolution depth. Lu, Z.; Tai, Y.; Deng, F.; Ben-Ezra, M.; and Brown, M. S International journal of computer vision, 102(1): 18–32. 2013.
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A physically-based approach to reflection separation: from physical modeling to constrained optimization. Kong, N.; Tai, Y.; and Shin, J. S IEEE transactions on pattern analysis and machine intelligence, 36(2): 209–221. 2013.
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Nonlinear camera response functions and image deblurring: Theoretical analysis and practice. Tai, Y.; Chen, X.; Kim, S.; Kim, S. J.; Li, F.; Yang, J.; Yu, J.; Matsushita, Y.; and Brown, M. S IEEE transactions on pattern analysis and machine intelligence, 35(10): 2498–2512. 2013.
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Outdoor Photometric Stereo. Yu, L.; Yeung, S.; Tai, Y.; Terzopoulos, D.; and Chan, T. F In IEEE International Conference on Computational Photography (ICCP), 2013.
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Shading-based shape refinement of RGB-D images. Yu, L.; Yeung, S.; Tai, Y.; and Lin, S. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1415–1422, 2013.
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A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting. Choi, I.; Kim, S.; Brown, M. S; and Tai, Y. In IEEE International Conference on Computer Vision (ICCV), 2013.
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Modeling the calibration pipeline of the Lytro camera for high quality light-field image reconstruction. Cho, D.; Kim, M. L. S.; and Tai, Y. In IEEE International Conference on Computer Vision (ICCV), 2013.
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Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision. Oh, T.; Kim, H.; Tai, Y.; Bazin, J.; and Kweon, I. S. In IEEE International Conference on Computer Vision (ICCV), volume 19, 2013.
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Multiview photometric stereo using planar mesh parameterization. Park, J.; Sinha, S. N; Matsushita, Y.; Tai, Y.; and Kweon, I. S. In Proceedings of the IEEE International Conference on Computer Vision, pages 1161–1168, 2013.
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Workshop on computational photography and low-level vision. Gu, J; Tai, Y.; Tan, P; and Yeung, S. . 2013.
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  2012 (12)
Lucas-kanade image registration using camera parameters. Cho, S.; Cho, H.; Tai, Y.; Moon, Y. S.; Cho, J.; Lee, S.; and Lee, S. In Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, volume 8301, pages 293–299, 2012. SPIE
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Nonlinear camera response functions and image deblurring. Kim, S.; Tai, Y.; Kim, S. J.; Brown, M. S; and Matsushita, Y. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 25–32, 2012. IEEE
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A physically-based approach to reflection separation. Kong, N.; Tai, Y.; and Shin, S. Y. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 9–16, 2012. IEEE
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Probabilistic cost model for nearest neighbor search in image retrieval. Kim, K.; Hasan, M. K; Heo, J.; Tai, Y.; and Yoon, S. Computer Vision and Image Understanding, 116(9): 991–998. 2012.
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Modeling photo composition and its application to photo re-arrangement. Park, J.; Lee, J.; Tai, Y.; and Kweon, I. S. In 19th IEEE International Conference on Image Processing (ICIP), pages 2741–2744, 2012.
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Identigram/watermark removal using cross-channel correlation. Park, J.; Tai, Y.; and Kweon, I. S. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 446–453, 2012. IEEE
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Motion-aware noise filtering for deblurring of noisy and blurry images. Tai, Y.; and Lin, S. In 2012 IEEE conference on computer vision and pattern recognition, pages 17–24, 2012. IEEE
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Video Matting Using Multi-Frame Nonlocal Matting Laplacian. Choi, I.; Lee, M.; and Tai, Y. In European Conference on Computer Vision (ECCV), 2012.
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A Tensor Voting Approach for Multi-View 3D Scene Flow Estimation and Refinement. Park, J.; Oh, T. H.; Jung, J.; Tai, Y.; and Kweon, I. S. In European Conference on Computer Vision (ECCV), 2012.
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Registration Based Non-uniform Motion Deblurring. Cho, S.; Cho, H.; Tai, Y.; and Lee, S. In Computer Graphics Forum, volume 31, pages 2183–2192, 2012. Blackwell Publishing Ltd Oxford, UK
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Color-aware Regularization for Gradient Domain Image Manipulation. Deng, F.; Kim, S. J.; Tai, Y.; and Brown, M. S In Asian Conference on Computer Vision (ACCV), 2012.
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Non-uniform Motion Deblurring for Camera Shakes. Cho, S.; Cho, H.; Tai, Y.; and Lee, A In Computer Graphic Forum, volume 31, pages 2183–2192, 2012.
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  2011 (7)
High-resolution hyperspectral imaging via matrix factorization. Kawakami, R.; Wright, J.; Tai, Y.; Matsushita, Y.; Ben-Ezra, M.; and Ikeuchi, K. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pages 2329–2336, 2011. IEEE
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High quality depth map upsampling for 3D-TOF cameras. Park, J.; Kim, H.; Tai, Y.; Brown, M. S; and Kweon, I. In 2011 International Conference on Computer Vision, pages 1623–1630, 2011. IEEE
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High-quality reflection separation using polarized images. Kong, N.; Tai, Y.; and Shin, S. Y. IEEE Transactions on Image Processing, 20(12): 3393–3405. 2011.
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Non-uniform motion deblurring for camera shakes using image registration. Cho, S.; Cho, H.; Tai, Y.; and Lee, S. In ACM SIGGRAPH 2011 Talks, pages 1–1. 2011.
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TWO-PHASE APPROACH FOR MULTI-VIEW OBJECT EXTRACTION. Kim, S.; Tai, Y.; Bok, Y.; Kim, H.; and Kweon, I. In 18th IEEE International Conference on Image Processing (ICIP), 2011.
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Semantic colorization with internet images. Chia, A. Y.; Zhuo, S.; Gupta, R. K.; Tai, Y.; Cho, S.; Tan, P.; and Lin, S. ACM Transactions on Graphics (ToG), 30(6): 1–8. 2011.
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Around the world in 80 seconds. Bazin, J.; Richard, A.; Tai, Y.; and Kweon, I. In SIGGRAPH Asia 2011 Posters, pages 1–1. 2011.
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  2010 (7)
Coded exposure imaging for projective motion deblurring. Tai, Y.; Kong, N.; Lin, S.; and Shin, S. Y. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 2408–2415, 2010. IEEE
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Richardson-lucy deblurring for scenes under a projective motion path. Tai, Y.; Tan, P.; and Brown, M. S IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(8): 1603–1618. 2010.
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A framework for ultra high resolution 3d imaging. Lu, Z.; Tai, Y.; Ben-Ezra, M.; and Brown, M. S In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 1205–1212, 2010. IEEE
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Super resolution using edge prior and single image detail synthesis. Tai, Y.; Liu, S.; Brown, M. S; and Lin, S. In 2010 IEEE computer society conference on computer vision and pattern recognition, pages 2400–2407, 2010. IEEE
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Interactive content-aware zooming. Laffont, P.; Jun, J. Y.; Wolf, C.; Tai, Y.; Idrissi, K.; Drettakis, G.; and Yoon, S. In Graphics Interface 2010 Conference, pages 79–87, 2010. Canadian Information Processing Society Toronto, Ont., Canada
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Motion regularization for matting motion blurred objects. Ting, L. H.; Yu-Wing, T.; and Brown, M. S In ACM SIGGRAPH 2010 Talks, pages 1–1. 2010.
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Colorization for single image super resolution. Liu, S.; Brown, M. S; Kim, S. J.; and Tai, Y. In Computer Vision–ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI 11, pages 323–336, 2010. Springer Berlin Heidelberg
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  2009 (3)
Correction of spatially varying image and video motion blur using a hybrid camera. Tai, Y.; Du, H.; Brown, M. S; and Lin, S. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(6): 1012–1028. 2009.
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Single image defocus map estimation using local contrast prior. Tai, Y.; and Brown, M. S In 2009 16th IEEE International Conference on Image Processing (ICIP), pages 1797–1800, 2009. IEEE
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Detail recovery for single-image defocus blur. Tai, Y.; Tang, H.; Brown, M. S; and Lin, S. IPSJ Transactions on Computer Vision and Applications, 1: 95–104. 2009.
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Image/video deblurring using a hybrid camera. Tai, Y.; Du, H.; Brown, M. S; and Lin, S. In 2008 IEEE Conference on Computer Vision and Pattern Recognition, pages 1–8, 2008. IEEE
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Texture amendment: reducing texture distortion in constrained parameterization. Tai, Y.; Brown, M. S; Tang, C.; and Shum, H. In ACM SIGGRAPH Asia 2008 papers, pages 1–6. 2008.
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  2007 (2)
Soft color segmentation and its applications. Tai, Y.; Jia, J.; and Tang, C. IEEE transactions on pattern analysis and machine intelligence, 29(9): 1520–1537. 2007.
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Robust estimation of texture flow via dense feature sampling. Tai, Y.; Brown, M. S; and Tang, C. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, pages 1–8, 2007. IEEE
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  2006 (3)
Video repairing under variable illumination using cyclic motions. Jia, J.; Tai, Y.; Wu, T.; and Tang, C. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(5): 832–839. 2006.
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Perceptually-inspired and edge-directed color image super-resolution. Tai, Y.; Tong, W.; and Tang, C. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), volume 2, pages 1948–1955, 2006. IEEE
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Simultaneous image denoising and compression by multiscale 2D tensor voting. Tai, Y.; Tong, W.; and Tang, C. In 18th International Conference on Pattern Recognition (ICPR'06), volume 3, pages 818–821, 2006. IEEE
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  2005 (2)
Local color transfer via probabilistic segmentation by expectation-maximization. Tai, Y.; Jia, J.; and Tang, C. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), volume 1, pages 747–754, 2005. IEEE
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Soft color segmentation with image-based applications: an alternating optimization approach. Tai, Y. Ph.D. Thesis, Hong Kong University of Science and Technology, 2005.
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  2004 (1)
Video repairing: Inference of foreground and background under severe occlusion. Jia, J.; Tai-Pang, W; Tai, Y.; and Tang, C. In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., volume 1, pages I–I, 2004. IEEE
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  undefined (18)
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Supplementary material for Data Driven Depth Map Recovery via Multi-scale Sparse Representation. Kwon, H.; Tai, Y.; and Lin, S. . .
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Area Chairs. Bartoli, A.; Boyer, E.; Bronstein, M.; Brown, M.; Chakrabarti, A.; Chandraker, M.; Chin, T.; Chli, M.; Cremers, D.; Goldlücke, B.; and others . .
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Meta Reviewers. Avidan, S.; Bartoli, A.; Boyer, E.; Bronstein, M.; Brown, M.; Chakrabarti, A.; Chandraker, M.; Chin, T.; Chli, M.; Cremers, D.; and others . .
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Reflective Decoding Network for Image Captioning: Supplementary Material. Ke, L.; Pei, W.; Li, R.; Shen, X.; and Tai, Y. . .
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Photometric methods for Geometry Refinement. Tai, Y. KCCV 2014,2012. .
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Supplementary Materials for “Cross-Domain Adaptation for Animal Pose Estimation”. Cao, J.; Tang, H.; Fang, H.; Shen, X.; Lu, C.; and Tai, Y. . .
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Supplementary Material for MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction. Yi, H.; Li, C.; Cao, Q.; Shen, X.; Li, S.; Wang, G.; and Tai, Y. . .
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Supplementary Materials: Towards Global Explanations of Convolutional Neural Networks with Concept Attribution. Wu, W.; Su, Y.; Chen, X.; Zhao, S.; King, I.; Lyu, M. R; and Tai, Y. . .
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Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers (Supplemental material). Ke, L.; Tai, Y.; and Tang, C. . .
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Occlusion-Aware Video Object Inpainting (Supplemental material). Ke, L.; Tai, Y.; and Tang, C. . .
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Self-Support Few-Shot Semantic Segmentation Supplementary Material. Fan, Q.; Pei21, W.; Tai, Y.; and Tang, C. . .
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Video Mask Transfiner for High-Quality Video Instance Segmentation (Supplemental material). Ke, L.; Ding, H.; Danelljan, M.; Tai, Y.; Tang, C.; and Yu, F. . .
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NeRF-RPN: A general framework for object detection in NeRFs Supplementary Material. Hu, B.; Huang, J.; Liu, Y.; Tai, Y.; and Tang, C. . .
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Cascade-DETR: Delving into High-Quality Universal Object Detection (Supplemental material). Ye, M.; Ke, L.; Li, S.; Tai, Y.; Tang, C.; Danelljan, M.; and Yu, F. . .
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Instance Neural Radiance Field Supplementary Material. Liu, Y.; Hu, B.; Huang, J.; Tai, Y.; and Tang, C. . .
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Supplementary Materials for EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding. Xu, Y.; Li, Y.; Huang, Z.; Liu, M. X.; Lu, C.; Tai, Y.; and Tang, C. . .
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Clean-NeRF: Defogging using Ray Statistics Prior in Natural NeRFs. Liu, X.; Tai, Y.; and Tang, C. . .
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