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ORCIDLong Zhao 0003
Person information
- affiliation: Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
Other persons with the same name
- Long Zhao — disambiguation page
- Long Zhao 0001
![[0000-0001-5839-8005]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5839-8005")
— Beijing University of Posts and Telecommunications, Wireless Signal Processing and Network Laboratory, China - Long Zhao 0002 — Qilu University of Technology (Shandong Academy of Sciences), School of Information, Jinan, China (and 1 more)
- Long Zhao 0004 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Long Zhao 0005 — Xi'an Polytechnic University, School of Electronics and Information, China (and 1 more)
- Long Zhao 0006 — National University of Singapore, Department of Analytics and Operations, Singapore (and 1 more)
- Long Zhao 0007 — Army Engineering University, College of Communications Engineering, Nanjing, China (and 1 more)
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2020 – today
- 2025
[i35]Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas:
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. CoRR abs/2502.03628 (2025)- 2024
- [j7]Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1775-1787 (2024) - [j6]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. Trans. Mach. Learn. Res. 2024 (2024) - [c30]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CVPR 2024: 13106-13116 - [c29]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CVPR 2024: 13592-13602 - [c28]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c27]Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher:
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. ECCV (29) 2024: 357-375 - [c26]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR 2024 - [c25]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024 - [c24]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV 2024: 2511-2521 - [i34]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i33]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CoRR abs/2401.06129 (2024) - [i32]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024) - [i31]Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher:
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. CoRR abs/2407.13642 (2024) - [i30]Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu:
ε-VAE: Denoising as Visual Decoding. CoRR abs/2410.04081 (2024) - [i29]Yihong Sun, Hao Zhou, Liangzhe Yuan, Jennifer J. Sun, Yandong Li, Xuhui Jia, Hartwig Adam, Bharath Hariharan, Long Zhao, Ting Liu:
Video Creation by Demonstration. CoRR abs/2412.09551 (2024) - 2023
- [c23]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. ICCV 2023: 3284-3294 - [c22]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. ICCV 2023: 6939-6950 - [c21]Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV 2023: 4421-4429 - [i28]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. CoRR abs/2303.08998 (2023) - [i27]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR abs/2303.09447 (2023) - [i26]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR abs/2303.16341 (2023) - [i25]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i24]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i23]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. CoRR abs/2308.11489 (2023) - [i22]Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - 2022
- [j5]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. Int. J. Comput. Vis. 130(1): 111-135 (2022) - [j4]Che-Jui Chang, Long Zhao, Sen Zhang, Mubbasir Kapadia:
Disentangling audio content and emotion with adaptive instance normalization for expressive facial animation synthesis. Comput. Animat. Virtual Worlds 33(3-4) (2022) - [c20]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister:
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI 2022: 3417-3425 - [c19]Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas:
Global Matching with Overlapping Attention for Optical Flow Estimation. CVPR 2022: 17571-17580 - [c18]Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng:
Are Multimodal Transformers Robust to Missing Modality? CVPR 2022: 18156-18165 - [c17]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) 2022: 159-175 - [c16]Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) 2022: 185-202 - [c15]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. ECCV (35) 2022: 249-266 - [i21]Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas:
Global Matching with Overlapping Attention for Optical Flow Estimation. CoRR abs/2203.11335 (2022) - [i20]Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng:
Are Multimodal Transformers Robust to Missing Modality? CoRR abs/2204.05454 (2022) - [i19]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR abs/2207.08954 (2022) - [i18]Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning. CoRR abs/2207.09644 (2022) - 2021
- [c14]Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng:
SMIL: Multimodal Learning with Severely Missing Modality. AAAI 2021: 2302-2310 - [c13]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CVPR 2021: 12793-12802 - [c12]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. NeurIPS 2021: 18367-18380 - [i17]Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng:
SMIL: Multimodal Learning with Severely Missing Modality. CoRR abs/2103.05677 (2021) - [i16]Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints. CoRR abs/2105.09597 (2021) - [i15]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. CoRR abs/2105.12723 (2021) - [i14]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. CoRR abs/2106.07631 (2021) - [i13]Xi Peng, Fengchun Qiao, Long Zhao:
Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach. CoRR abs/2108.02888 (2021) - [i12]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Learning of Group Activity in Videos. CoRR abs/2112.05892 (2021) - 2020
- [j3]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks. Int. J. Comput. Vis. 128(10): 2514-2533 (2020) - [c11]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. CVPR 2020: 6527-6536 - [c10]Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. CVPR 2020: 12553-12562 - [c9]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS 2020 - [i11]Fengchun Qiao, Long Zhao, Xi Peng:
Learning to Learn Single Domain Generalization. CoRR abs/2003.13216 (2020) - [i10]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. CoRR abs/2004.00176 (2020) - [i9]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR abs/2010.08001 (2020) - [i8]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. CoRR abs/2010.13321 (2020) - [i7]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CoRR abs/2012.01405 (2020)
2010 – 2019
- 2019
- [j2]Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas:
Cartoonish sketch-based face editing in videos using identity deformation transfer. Comput. Graph. 79: 58-68 (2019) - [c8]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. BMVC 2019: 103 - [c7]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR 2019: 3425-3435 - [c6]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. NeurIPS 2019: 11681-11692 - [i6]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CoRR abs/1904.03345 (2019) - [i5]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. CoRR abs/1907.08871 (2019) - [i4]Yu Tian, Long Zhao, Xi Peng, Dimitris N. Metaxas:
Rethinking Kernel Methods for Node Representation Learning on Graphs. CoRR abs/1910.02548 (2019) - 2018
- [c5]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. ECCV (15) 2018: 403-419 - [c4]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. IJCAI 2018: 942-948 - [i3]Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. CoRR abs/1806.11191 (2018) - [i2]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. CoRR abs/1807.09951 (2018) - 2017
- [i1]Long Zhao, Fangda Han, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas:
Sketch-based Face Editing in Video Using Identity Deformation Transfer. CoRR abs/1703.08738 (2017) - 2015
- [j1]Long Zhao, Shuang Liang, Jinyuan Jia, Yichen Wei:
Learning best views of 3D shapes from sketch contour. Vis. Comput. 31(6-8): 765-774 (2015) - [c3]Chaoyang Wang, Long Zhao, Shuang Liang, Liqing Zhang, Jinyuan Jia, Yichen Wei:
Object proposal by multi-branch hierarchical segmentation. CVPR 2015: 3873-3881 - 2014
- [c2]Long Zhao, Shuang Liang, Yichen Wei, Jinyuan Jia:
Size and Location Matter: A New Baseline for Salient Object Detection. ACCV (3) 2014: 578-592 - [c1]Shuang Liang, Long Zhao, Yichen Wei, Jinyuan Jia:
Sketch-Based Retrieval Using Content-Aware Hashing. PCM 2014: 133-142
Coauthor Index
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