| 2023 | Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. | Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta |
| 2023 | Regularized Primitive Graph Learning for Unified Vector Mapping. | Lei Wang, Min Dai, Jianan He, Jingwei Huang |
| 2023 | Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. | Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng |
| 2023 | ReFit: Recurrent Fitting Network for 3D Human Recovery. | Yufu Wang, Kostas Daniilidis |
| 2023 | Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. | Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang |
| 2023 | IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation. | Yun Wang, Cheng Chi, Min Lin, Xin Yang |
| 2023 | Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning. | Yuanzhi Wang, Zhen Cui, Yong Li |
| 2023 | Memory-and-Anticipation Transformer for Online Action Understanding. | Jiahao Wang, Guo Chen, Yifei Huang, Limin Wang, Tong Lu |
| 2023 | ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. | Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan |
| 2023 | UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework. | Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang |
| 2023 | Tracking Everything Everywhere All at Once. | Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely |
| 2023 | Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction. | Jinhong Wang, Yi Cheng, Jintai Chen, Tingting Chen, Danny Chen, Jian Wu |
| 2023 | DIRE for Diffusion-Generated Image Detection. | Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li |
| 2023 | Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation. | Haoqi Wang, Zhizhong Li, Wayne Zhang |
| 2023 | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. | Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao |
| 2023 | GridMM: Grid Memory Map for Vision-and-Language Navigation. | Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang |
| 2023 | Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. | Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei |
| 2023 | Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. | Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren |
| 2023 | PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. | Jianyuan Wang, Christian Rupprecht, David Novotn |
| 2023 | Learning Long-range Information with Dual-Scale Transformers for Indoor Scene Completion. | Ziqi Wang, Fei Luo, Xiaoxiao Long, Wenxiao Zhang, Chunxia Xiao |
| 2023 | SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis. | Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu |
| 2023 | Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. | Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo |
| 2023 | Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation. | Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu |
| 2023 | End-to-End Diffusion Latent Optimization Improves Classifier Guidance. | Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik |
| 2023 | MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. | Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong |