activity
20202026
most citedView-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

19 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Video Encoders Built on Image Representations

Jusheng Zhang, Wenhao Wang, Longqi Cai +3

The design of a video encoder determines when frames begin to interact and which frame-specific visual evidence remains accessible to the language model. Native video pathways coup…

cs.CV2022

Improving Zero-shot Generalization and Robustness of Multi-modal Models

Yunhao Ge, Jie Ren, Andrew Gallagher +6

Multi-modal image-text models such as CLIP and LiT have demonstrated impressive performance on image classification benchmarks and their zero-shot generalization ability is particu…

cs.LG2022

Learning to Generate Image Embeddings with User-level Differential Privacy

Zheng Xu, Maxwell Collins, Yuxiao Wang +6

Small on-device models have been successfully trained with user-level differential privacy (DP) for next word prediction and image classification tasks in the past. However, existi…

cs.CV2020★ 2 cited

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

Long Zhao, Yuxiao Wang, Jiaping Zhao +7

We introduce a novel representation learning method to disentangle pose-dependent as well as view-dependent factors from 2D human poses. The method trains a network using cross-vie…

cs.CV2020★ 19 cited

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose

Ting Liu, Jennifer J. Sun, Long Zhao +6

Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people. However, cameras generally capture human poses in 2D as images and videos…