| 2024 | Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text. | Junshu Tang, Yanhong Zeng, Ke Fan, Xuheng Wang, Bo Dai, Kai Chen, Lizhuang Ma |
| 2024 | Robust Overfitting Does Matter: Test-Time Adversarial Purification with FGSM. | Linyu Tang, Lei Zhang |
| 2024 | Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology. | Wenhao Tang, Fengtao Zhou, Sheng Huang, Xiang Zhu, Yi Zhang, Bo Liu |
| 2024 | PaReNeRF: Toward Fast Large-Scale Dynamic NeRF with Patch-Based Reference. | Xiao Tang, Min Yang, Penghui Sun, Hui Li, Yuchao Dai, Feng Zhu, Hojae Lee |
| 2024 | CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. | Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal |
| 2024 | Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. | Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge |
| 2024 | SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction. | Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma |
| 2024 | A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals. | Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi |
| 2024 | Ensemble Diversity Facilitates Adversarial Transferability. | Bowen Tang, Zheng Wang, Yi Bin, Qi Dou, Yang Yang, Heng Tao Shen |
| 2024 | Bilateral Propagation Network for Depth Completion. | Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan |
| 2024 | NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. | Zhenggang Tang, Zhongzheng Ren, Xiaoming Zhao, Bowen Wen, Jonathan Tremblay, Stan Birchfield, Alexander G. Schwing |
| 2024 | DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. | Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Niener |
| 2024 | Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. | Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu |
| 2024 | AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. | Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2024 | HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention. | Xiaolong Tang, Meina Kan, Shiguang Shan, Zhilong Ji, Jinfeng Bai, Xilin Chen |
| 2024 | CORES: Convolutional Response-based Score for Out-of-distribution Detection. | Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian |
| 2024 | VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. | Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang |
| 2024 | DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. | Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Niener |
| 2024 | BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed. | Abhishek Tandon, Anujraaj Goyal, Henry M. Clever, Zackory Erickson |
| 2024 | Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. | Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao |
| 2024 | Global Latent Neural Rendering. | Thomas Tanay, Matteo Maggioni |
| 2024 | DiffusionRegPose: Enhancing Multi-Person Pose Estimation Using a Diffusion-Based End-to-End Regression Approach. | Dayi Tan, Hansheng Chen, Wei Tian, Lu Xiong |
| 2024 | Rethinking Multi-Domain Generalization with A General Learning Objective. | Zhaorui Tan, Xi Yang, Kaizhu Huang |
| 2024 | FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning. | Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian |
| 2024 | Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation. | Lior Talker, Aviad Cohen, Erez Yosef, Alexandra Dana, Michael Dinerstein |