activity
20132023
most citedMMD GAN: Towards Deeper Understanding of Moment Matching Network

413 citations · 1.9k across the 57 of their papers we have counts for

collaborators

59 papers

cs.CV2023

ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding

Yu Cheng, Bo Wang, Robby T. Tan

In 3D human shape and pose estimation from a monocular video, models trained with limited labeled data cannot generalize well to videos with occlusion, which is common in the wild…

cs.CV2023

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking

Jianqiang Xia, DianXi Shi, Ke Song +11

Most existing RGB-T tracking networks extract modality features in a separate manner, which lacks interaction and mutual guidance between modalities. This limits the network's abil…

cs.CV2022★ 3 cited

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen +3

Diffusion models (DMs) have shown great potential for high-quality image synthesis. However, when it comes to producing images with complex scenes, how to properly describe both im…

cs.IR2022

ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest

Yuezihan Jiang, Yu Cheng, Hanyu Zhao +6

We introduce ZOOMER, a system deployed at Taobao, the largest e-commerce platform in China, for training and serving GNN-based recommendations over web-scale graphs. ZOOMER is desi…

cs.LG2022★ 3 cited

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy

Tianlong Chen, Zhenyu Zhang, Yu Cheng +2

Vision transformers (ViTs) have gained increasing popularity as they are commonly believed to own higher modeling capacity and representation flexibility, than traditional convolut…

cs.SD2020

Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020

Yu-Sen Cheng, Chun-Liang Shih, Tien-Hong Lo +2

In this report, we describe our submission to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020. Two approaches are adopted. One is to apply query expansion on speaker verif…