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Journal Articles
- 2024
[j8]Jinxing Zhou, Dan Guo, Yiran Zhong, Meng Wang:
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-Wise Pseudo Labeling. Int. J. Comput. Vis. 132(11): 5308-5329 (2024)- 2023
- [j7]Weixuan Sun
, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12635-12649 (2023) - [j6]Jiadai Sun, Yuxin Mao, Yuchao Dai, Yiran Zhong, Jianyuan Wang:
MUNet: Motion uncertainty-aware semi-supervised video object segmentation. Pattern Recognit. 138: 109399 (2023) - [j5]Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong:
Linearized Relative Positional Encoding. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j4]Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Stereo Matching. Int. J. Comput. Vis. 130(5): 1196-1209 (2022) - 2021
- [j3]Wenjia Niu, Kaihao Zhang, Wenhan Luo, Yiran Zhong, Hongdong Li:
Deep robust image deblurring via blur distilling and information comparison in latent space. Neurocomputing 466: 69-79 (2021) - [j2]Wenjia Niu, Kaihao Zhang, Wenhan Luo, Yiran Zhong:
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding. IEEE Trans. Image Process. 30: 7101-7111 (2021) - 2019
- [j1]Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Wei Liu, Hongdong Li:
Adversarial Spatio-Temporal Learning for Video Deblurring. IEEE Trans. Image Process. 28(1): 291-301 (2019)
Conference and Workshop Papers
- 2024
- [c32]Dawei Hao, Yuxin Mao, Bowen He, Xiaodong Han, Yuchao Dai, Yiran Zhong:
Improving Audio-Visual Segmentation with Bidirectional Generation. AAAI 2024: 2067-2075 - [c31]Zhen Qin, Yiran Zhong, Hui Deng:
Exploring Transformer Extrapolation. AAAI 2024: 18897-18905 - [c30]Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. ICLR 2024 - [c29]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention. ICML 2024 - [c28]Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai:
TAVGBench: Benchmarking Text to Audible-Video Generation. ACM Multimedia 2024: 6607-6616 - 2023
- [c27]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CVPR 2023: 6420-6429 - [c26]Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong:
Fine-grained Audible Video Description. CVPR 2023: 10585-10596 - [c25]Zhen Qin, Yiran Zhong:
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity. EMNLP 2023: 12206-12215 - [c24]Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. ICCV 2023: 954-965 - [c23]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. ICCV (Workshops) 2023: 826-837 - [c22]Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong:
Toeplitz Neural Network for Sequence Modeling. ICLR 2023 - [c21]Zhen Qin, Songlin Yang, Yiran Zhong:
Hierarchically Gated Recurrent Neural Network for Sequence Modeling. NeurIPS 2023 - 2022
- [c20]Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li:
Transcribing Natural Languages for the Deaf via Neural Editing Programs. AAAI 2022: 11991-11999 - [c19]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CVPR 2022: 13854-13863 - [c18]Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation. ECCV (37) 2022: 386-403 - [c17]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. EMNLP 2022: 7025-7041 - [c16]Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong:
cosFormer: Rethinking Softmax In Attention. ICLR 2022 - [c15]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) 2022: 464-474 - 2021
- [c14]Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li:
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring. CVPR 2021: 7721-7731 - [c13]Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation Along the Audio-Visual Event Line. CVPR 2021: 8436-8444 - [c12]Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li:
Deep Two-View Structure-From-Motion Revisited. CVPR 2021: 8953-8962 - [c11]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. ICCV 2021: 4318-4327 - 2020
- [c10]Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li:
Deblurring by Realistic Blurring. CVPR 2020: 2734-2743 - [c9]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c8]Jianyuan Wang, Yiran Zhong, Yuchao Dai, Kaihao Zhang, Pan Ji, Hongdong Li:
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation. NeurIPS 2020 - 2019
- [c7]Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li:
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion. CVPR 2019: 6339-6348 - [c6]Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li:
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes. CVPR 2019: 12095-12104 - 2018
- [c5]Yiran Zhong, Hongdong Li, Yuchao Dai:
Open-World Stereo Video Matching with Deep RNN. ECCV (2) 2018: 104-119 - [c4]Yiran Zhong, Yuchao Dai, Hongdong Li:
Stereo Computation for a Single Mixture Image. ECCV (9) 2018: 441-456 - [c3]Yiran Zhong, Yuchao Dai, Hongdong Li:
3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes. ICPR 2018: 2343-2349 - 2016
- [c2]Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong:
Robust Multi-Body Feature Tracker: A Segmentation-Free Approach. CVPR 2016: 3843-3851 - 2014
- [c1]Pan Ji, Yiran Zhong, Hongdong Li, Mathieu Salzmann:
Null space clustering with applications to motion segmentation and face clustering. ICIP 2014: 283-287
Informal and Other Publications
- 2024
- [i65]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models. CoRR abs/2401.04658 (2024) - [i64]Weigao Sun, Zhen Qin, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
CO2: Efficient Distributed Training with Full Communication-Computation Overlap. CoRR abs/2401.16265 (2024) - [i63]Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong:
Linear Attention Sequence Parallelism. CoRR abs/2404.02882 (2024) - [i62]Zhen Qin, Songlin Yang, Weixuan Sun, Xuyang Shen, Dong Li, Weigao Sun, Yiran Zhong:
HGRN2: Gated Linear RNNs with State Expansion. CoRR abs/2404.07904 (2024) - [i61]Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai:
TAVGBench: Benchmarking Text to Audible-Video Generation. CoRR abs/2404.14381 (2024) - [i60]Zhen Qin, Weigao Sun, Dong Li, Xuyang Shen, Weixuan Sun, Yiran Zhong:
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention. CoRR abs/2405.17381 (2024) - [i59]Zhen Qin, Xuyang Shen, Dong Li, Weigao Sun, Stan Birchfield, Richard I. Hartley, Yiran Zhong:
Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective. CoRR abs/2405.17383 (2024) - [i58]Zhen Qin, Yuxin Mao, Xuyang Shen, Dong Li, Jing Zhang, Yuchao Dai, Yiran Zhong:
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet. CoRR abs/2405.21022 (2024) - [i57]Jinxing Zhou, Dan Guo, Yiran Zhong, Meng Wang:
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling. CoRR abs/2406.00919 (2024) - [i56]Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong:
Scaling Laws for Linear Complexity Language Models. CoRR abs/2406.16690 (2024) - [i55]Jinxing Zhou, Dan Guo, Yuxin Mao, Yiran Zhong, Xiaojun Chang, Meng Wang:
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing. CoRR abs/2407.08126 (2024) - 2023
- [i54]Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation with Semantics. CoRR abs/2301.13190 (2023) - [i53]Jinxing Zhou, Dan Guo, Yiran Zhong, Meng Wang:
Improving Audio-Visual Video Parsing with Pseudo Visual Labels. CoRR abs/2303.02344 (2023) - [i52]Weixuan Sun, Jiayi Zhang, Jianyuan Wang, Zheyuan Liu, Yiran Zhong, Tianpeng Feng, Yandong Guo, Yanhao Zhang, Nick Barnes:
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning. CoRR abs/2303.11302 (2023) - [i51]Xuyang Shen, Dong Li, Jinxing Zhou, Zhen Qin, Bowen He, Xiaodong Han, Aixuan Li, Yuchao Dai, Lingpeng Kong, Meng Wang, Yu Qiao, Yiran Zhong:
Fine-grained Audible Video Description. CoRR abs/2303.15616 (2023) - [i50]Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes:
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems. CoRR abs/2305.01586 (2023) - [i49]Zhen Qin, Xiaodong Han, Weixuan Sun, Bowen He, Dong Li, Dongxu Li, Yuchao Dai, Lingpeng Kong, Yiran Zhong:
Toeplitz Neural Network for Sequence Modeling. CoRR abs/2305.04749 (2023) - [i48]Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai:
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning. CoRR abs/2307.04651 (2023) - [i47]Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong:
Linearized Relative Positional Encoding. CoRR abs/2307.09270 (2023) - [i46]Zhen Qin, Yiran Zhong, Hui Deng:
Exploring Transformer Extrapolation. CoRR abs/2307.10156 (2023) - [i45]Zhen Qin, Dong Li, Weigao Sun, Weixuan Sun, Xuyang Shen, Xiaodong Han, Yunshen Wei, Baohong Lv, Fei Yuan, Xiao Luo, Yu Qiao, Yiran Zhong:
Scaling TransNormer to 175 Billion Parameters. CoRR abs/2307.14995 (2023) - [i44]Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai:
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation. CoRR abs/2307.16579 (2023) - [i43]Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes:
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2308.04321 (2023) - [i42]Mengjie Zhou, Liu Liu, Yiran Zhong:
Image-based Geolocalization by Ground-to-2.5D Map Matching. CoRR abs/2308.05993 (2023) - [i41]Dawei Hao, Yuxin Mao, Bowen He, Xiaodong Han, Yuchao Dai, Yiran Zhong:
Improving Audio-Visual Segmentation with Bidirectional Generation. CoRR abs/2308.08288 (2023) - [i40]Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. CoRR abs/2310.08303 (2023) - [i39]Zhen Qin, Songlin Yang, Yiran Zhong:
Hierarchically Gated Recurrent Neural Network for Sequence Modeling. CoRR abs/2311.04823 (2023) - [i38]Zhen Qin, Yiran Zhong:
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity. CoRR abs/2311.08756 (2023) - 2022
- [i37]Zhen Qin, Weixuan Sun, Hui Deng, Dongxu Li, Yunshen Wei, Baohong Lv, Junjie Yan, Lingpeng Kong, Yiran Zhong:
cosFormer: Rethinking Softmax in Attention. CoRR abs/2202.08791 (2022) - [i36]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CoRR abs/2203.07363 (2022) - [i35]Jingyu Sun, Guiping Zhong, Dinghao Zhou, Baoxiang Li, Yiran Zhong:
Locality Matters: A Locality-Biased Linear Attention for Automatic Speech Recognition. CoRR abs/2203.15609 (2022) - [i34]Hui Deng, Tong Zhang, Yuchao Dai, Jiawei Shi, Yiran Zhong, Hongdong Li:
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective. CoRR abs/2204.04730 (2022) - [i33]Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. CoRR abs/2206.10552 (2022) - [i32]Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation. CoRR abs/2207.05042 (2022) - [i31]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. CoRR abs/2207.12152 (2022) - [i30]Xuyang Shen, Jo Plested, Sabrina B. Caldwell, Yiran Zhong, Tom Gedeon:
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification. CoRR abs/2207.12944 (2022) - [i29]Zexiang Liu, Dong Li, Kaiyue Lu, Zhen Qin, Weixuan Sun, Jiacheng Xu, Yiran Zhong:
Neural Architecture Search on Efficient Transformers and Beyond. CoRR abs/2207.13955 (2022) - [i28]Kaiyue Lu, Zexiang Liu, Jianyuan Wang, Weixuan Sun, Zhen Qin, Dong Li, Xuyang Shen, Hui Deng, Xiaodong Han, Yuchao Dai, Yiran Zhong:
Linear Video Transformer with Feature Fixation. CoRR abs/2210.08164 (2022) - [i27]Zhen Qin, Xiaodong Han, Weixuan Sun, Dongxu Li, Lingpeng Kong, Nick Barnes, Yiran Zhong:
The Devil in Linear Transformer. CoRR abs/2210.10340 (2022) - 2021
- [i26]Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li:
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring. CoRR abs/2103.04260 (2021) - [i25]Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation along the Audio-Visual Event Line. CoRR abs/2104.00239 (2021) - [i24]Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li:
Deep Two-View Structure-from-Motion Revisited. CoRR abs/2104.00556 (2021) - [i23]Wenjia Niu, Kaihao Zhang, Wenhan Luo, Yiran Zhong, Xin Yu, Hongdong Li:
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding. CoRR abs/2105.13077 (2021) - [i22]Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng:
Invertible Attention. CoRR abs/2106.09003 (2021) - [i21]Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong:
Depth-Guided Camouflaged Object Detection. CoRR abs/2106.13217 (2021) - [i20]Xiaomeng Xin, Yiran Zhong, Yunzhong Hou, Jinjun Wang, Liang Zheng:
Memory-Free Generative Replay For Class-Incremental Learning. CoRR abs/2109.00328 (2021) - [i19]Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. CoRR abs/2109.07246 (2021) - [i18]Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR abs/2111.11055 (2021) - [i17]Jiadai Sun, Yuxin Mao, Yuchao Dai, Yiran Zhong, Jianyuan Wang:
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation. CoRR abs/2111.14646 (2021) - [i16]Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes:
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR abs/2112.02841 (2021) - [i15]Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li:
Transcribing Natural Languages for The Deaf via Neural Editing Programs. CoRR abs/2112.09600 (2021) - 2020
- [i14]Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li:
Deblurring by Realistic Blurring. CoRR abs/2004.01860 (2020) - [i13]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020) - [i12]Jianyuan Wang, Yiran Zhong, Yuchao Dai, Kaihao Zhang, Pan Ji, Hongdong Li:
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation. CoRR abs/2010.14851 (2020) - [i11]Yiran Zhong, Charles T. Loop, Wonmin Byeon, Stan Birchfield, Yuchao Dai, Kaihao Zhang, Alexey Kamenev, Thomas M. Breuel, Hongdong Li, Jan Kautz:
Displacement-Invariant Cost Computation for Efficient Stereo Matching. CoRR abs/2012.00899 (2020) - [i10]Yiran Zhong, Yuchao Dai, Hongdong Li:
Efficient Depth Completion Using Learned Bases. CoRR abs/2012.01110 (2020) - [i9]Yiran Zhong, Yuchao Dai, Hongdong Li:
Depth Completion using Piecewise Planar Model. CoRR abs/2012.03195 (2020) - 2019
- [i8]Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li:
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes. CoRR abs/1904.03848 (2019) - [i7]Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li:
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion. CoRR abs/1904.03868 (2019) - 2018
- [i6]Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Wei Liu, Hongdong Li:
Adversarial Spatio-Temporal Learning for Video Deblurring. CoRR abs/1804.00533 (2018) - [i5]Yiran Zhong, Hongdong Li, Yuchao Dai:
Open-World Stereo Video Matching with Deep RNN. CoRR abs/1808.03959 (2018) - [i4]Yiran Zhong, Yuchao Dai, Hongdong Li:
3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes. CoRR abs/1808.04028 (2018) - [i3]Yiran Zhong, Yuchao Dai, Hongdong Li:
Stereo Computation for a Single Mixture Image. CoRR abs/1808.08690 (2018) - 2017
- [i2]Yiran Zhong, Yuchao Dai, Hongdong Li:
Self-Supervised Learning for Stereo Matching with Self-Improving Ability. CoRR abs/1709.00930 (2017) - 2016
- [i1]Pan Ji, Hongdong Li, Mathieu Salzmann, Yiran Zhong:
Robust Multi-body Feature Tracker: A Segmentation-free Approach. CoRR abs/1603.00110 (2016)
Coauthor Index
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