generated by bibbase.org
  2025 (3)
Dragvideo: Interactive drag-style video editing. Deng, Y.; Wang, R.; Zhang, Y.; Tai, Y.; and Tang, C. In European Conference on Computer Vision, pages 183–199, 2025. Springer, Cham
link   bibtex  
Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-observations for High-Quality Sparse-View Reconstruction. Liu, X.; Chen, J.; Kao, S.; Tai, Y.; and Tang, C. In European Conference on Computer Vision, pages 337–355, 2025. Springer, Cham
link   bibtex  
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation. Xu, Y.; Li, Y.; Cui, K.; Wang, Z.; Lu, C.; Tai, Y.; and Tang, C. In European Conference on Computer Vision, pages 240–257, 2025. Springer, Cham
link   bibtex  
  2024 (15)
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
link   bibtex  
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.
link   bibtex  
Semantic image matting: General and specific semantics. Sun, Y.; Tang, C.; and Tai, Y. International Journal of Computer Vision, 132(3): 710–730. 2024.
link   bibtex  
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation. Zhang, J.; Liu, Y.; Tai, Y.; and Tang, C. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 26886–26895, 2024.
link   bibtex  
SANeRF-HQ: Segment Anything for NeRF in High Quality. Liu, Y.; Hu, B.; Tang, C.; and Tai, Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 3216–3226, 2024.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Motion-Agent: A Conversational Framework For Human Motion Generation with LLMs. Wu, Q.; Zhao, Y.; Wang, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2405.17013. 2024.
link   bibtex  
C3LLM: Conditional Multimodal Content Generation Using Large Language Models. Wang, Z.; Duan, Q.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2405.16136. 2024.
link   bibtex  
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. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 19667–19679, 2024.
link   bibtex  
VP-LLM: Text-Driven 3D Volume Completion with Large Language Models through Patchification. Liu, J.; Liu, Y.; Zhang, Y.; Meng, Z.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2406.05543. 2024.
link   bibtex  
ChatCam: Empowering Camera Control through Conversational AI. Liu, X.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2409.17331. 2024.
link   bibtex  
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition. Wang, Z.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2410.03335. 2024.
link   bibtex  
Boundary-Enhanced Instance Segmentation. Zhang, F.; Pan, T.; Tai, Y.; and Wang, B. In ECAI 2024, pages 585–592. IOS Press, 2024.
link   bibtex  
  2023 (26)
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
Occlusion-aware instance segmentation via bilayer network architectures. Ke, L.; Tai, Y.; and Tang, C. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8): 10197–10211. 2023.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations. Liu, X.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2303.14707. 2023.
link   bibtex  
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.
link   bibtex  
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, 45(9): 10929–10946. 2023.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Segment anything meets point tracking. Rajič, F.; Ke, L.; Tai, Y.; Tang, C.; Danelljan, M.; and Yu, F. arXiv preprint arXiv:2307.01197. 2023.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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: 43307–43321. 2023.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
  2022 (24)
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
Flnerf: 3d facial landmarks estimation in neural radiance fields. Zhang, H.; Dai, T.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2211.11202. 2022.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
  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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
  2020 (22)
Deblurring. Tai, Y.; and Pan, J. In Computer Vision: A Reference Guide, pages 1–5. Springer International Publishing Cham, 2020.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Blur Estimation. Tai, Y.; and Pan, J. Computer Vision: A Reference Guide,1–5. 2020.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
Semi-supervised few-shot atomic action recognition. Ni, X.; Song, S.; Tai, Y.; and Tang, C. arXiv preprint arXiv:2011.08410. 2020.
link   bibtex  
  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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Stablenet: semi-online, multi-scale deep video stabilization. Huang, C.; Yin, H.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1907.10283. 2019.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
  2018 (11)
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Prin: Pointwise rotation-invariant network. You, Y.; Lou, Y.; Liu, Q.; Ma, L.; Wang, W.; Tai, Y.; and Lu, C. arXiv preprint arXiv:1811.09361, 2(6): 7. 2018.
link   bibtex  
  2017 (14)
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Mavot: Memory-augmented video object tracking. Liu, B.; Wang, Y.; Tai, Y.; and Tang, C. arXiv preprint arXiv:1711.09414. 2017.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
DHDE CVPR17 Save. Park, J.; Tai, Y.; Cho, D.; and Kweon, I. S. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
link   bibtex  
  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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
  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.
link   bibtex  
A simulation based method for vehicle motion prediction. Park, J.; and Tai, Y. Computer Vision and Image Understanding, 136: 79–91. 2015.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
RGB-guided hyperspectral image upsampling. Kwon, H.; and Tai, Y. In Proceedings of the IEEE International Conference on Computer Vision, pages 307–315, 2015.
link   bibtex  
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
link   bibtex  
  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.
link   bibtex  
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.
link   bibtex  
Hybrid-imaging for motion deblurring. Ben-Ezra, M.; Tai, Y.; Brown, M. S; and Nayar, S. K 2014.
link   bibtex  
A randomized algorithm for natural object colorization. Jin, S.; Choi, H.; and Tai, Y. In Computer Graphics Forum, volume 33, pages 205–214, 2014.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
  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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Outdoor Photometric Stereo. Yu, L.; Yeung, S.; Tai, Y.; Terzopoulos, D.; and Chan, T. F In IEEE International Conference on Computational Photography (ICCP), 2013.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Workshop on computational photography and low-level vision. Gu, J; Tai, Y.; Tan, P; and Yeung, S. . 2013.
link   bibtex  
  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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
Video Matting Using Multi-Frame Nonlocal Matting Laplacian. Choi, I.; Lee, M.; and Tai, Y. In European Conference on Computer Vision (ECCV), 2012.
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
  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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
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.
link   bibtex  
Around the world in 80 seconds. Bazin, J.; Richard, A.; Tai, Y.; and Kweon, I. In SIGGRAPH Asia 2011 Posters, pages 1–1. 2011.
link   bibtex  
  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
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
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
link   bibtex  
  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.
link   bibtex  
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
link   bibtex  
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.
link   bibtex  
  2008 (2)
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
link   bibtex  
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.
link   bibtex  
  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.
link   bibtex  
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
link   bibtex  
  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.
link   bibtex  
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
link   bibtex  
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
link   bibtex  
  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
link   bibtex  
Soft color segmentation with image-based applications: an alternating optimization approach. Tai, Y. Ph.D. Thesis, Hong Kong University of Science and Technology, 2005.
link   bibtex  
  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
link   bibtex  
  undefined (21)
. . .
link   bibtex   9 downloads  
Supplementary material for Data Driven Depth Map Recovery via Multi-scale Sparse Representation. Kwon, H.; Tai, Y.; and Lin, S. . .
link   bibtex  
Area Chairs. Bartoli, A.; Boyer, E.; Bronstein, M.; Brown, M.; Chakrabarti, A.; Chandraker, M.; Chin, T.; Chli, M.; Cremers, D.; Goldlücke, B.; and others . .
link   bibtex  
Meta Reviewers. Avidan, S.; Bartoli, A.; Boyer, E.; Bronstein, M.; Brown, M.; Chakrabarti, A.; Chandraker, M.; Chin, T.; Chli, M.; Cremers, D.; and others . .
link   bibtex  
Reflective Decoding Network for Image Captioning: Supplementary Material. Ke, L.; Pei, W.; Li, R.; Shen, X.; and Tai, Y. . .
link   bibtex  
Photometric methods for Geometry Refinement. Tai, Y. KCCV 2014,2012. .
link   bibtex  
Supplementary Materials for “Cross-Domain Adaptation for Animal Pose Estimation”. Cao, J.; Tang, H.; Fang, H.; Shen, X.; Lu, C.; and Tai, Y. . .
link   bibtex  
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. . .
link   bibtex  
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. . .
link   bibtex  
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers (Supplemental material). Ke, L.; Tai, Y.; and Tang, C. . .
link   bibtex  
Occlusion-Aware Video Object Inpainting (Supplemental material). Ke, L.; Tai, Y.; and Tang, C. . .
link   bibtex  
Self-Support Few-Shot Semantic Segmentation Supplementary Material. Fan, Q.; Pei21, W.; Tai, Y.; and Tang, C. . .
link   bibtex  
Video Mask Transfiner for High-Quality Video Instance Segmentation (Supplemental material). Ke, L.; Ding, H.; Danelljan, M.; Tai, Y.; Tang, C.; and Yu, F. . .
link   bibtex  
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. . .
link   bibtex  
NeRF-RPN: A general framework for object detection in NeRFs Supplementary Material. Hu, B.; Huang, J.; Liu, Y.; Tai, Y.; and Tang, C. . .
link   bibtex  
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. . .
link   bibtex  
Instance Neural Radiance Field Supplementary Material. Liu, Y.; Hu, B.; Huang, J.; Tai, Y.; and Tang, C. . .
link   bibtex  
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. . .
link   bibtex  
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. . .
link   bibtex  
Clean-NeRF: Defogging using Ray Statistics Prior in Natural NeRFs. Liu, X.; Tai, Y.; and Tang, C. . .
link   bibtex  
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition. Zixuan, W.; Tai, Y.; and Tang, C. . .
link   bibtex