Bingyi Kang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Video Depth Anything: Consistent Depth Estimation for Super-Long Videos. | Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang |
| 2025 | CVPR | Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation. | Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang |
| 2025 | CVPR | VideoWorld: Exploring Knowledge Learning from Unlabeled Videos. | Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin |
| 2025 | ICCV | SpatialTrackerV2: Advancing 3D Point Tracking with Explicit Camera Motion. | Yuxi Xiao, Jianyuan Wang, Nan Xue, Nikita Karaev, Yuri Makarov, Bingyi Kang, Xing Zhu, Hujun Bao, Yujun Shen, Xiaowei Zhou |
| 2025 | ICML | How Far Is Video Generation from World Model: A Physical Law Perspective. | Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng |
| 2024 | CVPR | Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. | Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao |
| 2024 | ICML | Improving Token-Based World Models with Parallel Observation Prediction. | Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor |
| 2023 | AAAI | Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. | Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan |
| 2023 | ICLR | Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. | Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2023 | ICML | Bag of Tricks for Training Data Extraction from Language Models. | Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan |
| 2021 | ICLR | Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. | Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell |
| 2021 | ICLR | Exploring Balanced Feature Spaces for Representation Learning. | Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng |
| 2020 | CVPR | Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. | Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng |
| 2020 | ECCV | The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. | Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng |
| 2020 | ICLR | Decoupling Representation and Classifier for Long-Tailed Recognition. | Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis |
| 2019 | ICCV | Few-Shot Object Detection via Feature Reweighting. | Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell |
| 2018 | ICLR | Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. | Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor |
| 2018 | ICML | Policy Optimization with Demonstrations. | Bingyi Kang, Zequn Jie, Jiashi Feng |
| 2018 | IJCAI | Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. | Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan |
| 2018 | UAI | Transferable Meta Learning Across Domains. | Bingyi Kang, Jiashi Feng |