activity
20162026
most citedVisual to Sound: Generating Natural Sound for Videos in the Wild

5 citations · 18 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production

Yixin Nie, Lin Guan, Zhongyao Ma +19

This report presents CharacterFlywheel, an iterative flywheel process for improving large language models (LLMs) in production social chat applications across Instagram, WhatsApp,…

cs.CV2024

ROICtrl: Boosting Instance Control for Visual Generation

Yuchao Gu, Yipin Zhou, Yunfan Ye +5

Natural language often struggles to accurately associate positional and attribute information with multiple instances, which limits current text-based visual generation models to s…

cs.CV2023

Universal Pyramid Adversarial Training for Improved ViT Performance

Ping-yeh Chiang, Yipin Zhou, Omid Poursaeed +4

Recently, Pyramid Adversarial training (Herrmann et al., 2022) has been shown to be very effective for improving clean accuracy and distribution-shift robustness of vision transfor…

cs.CV2023★ 1 cited

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence

Yuchao Gu, Yipin Zhou, Bichen Wu +7

Current diffusion-based video editing primarily focuses on structure-preserved editing by utilizing various dense correspondences to ensure temporal consistency and motion alignmen…

cs.CV2023★ 3 cited

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma +5

In recent years, transformer-based detectors have demonstrated remarkable performance in 2D visual perception tasks. However, their performance in multi-view 3D object detection re…

cs.CV2022

Unifying Tracking and Image-Video Object Detection

Peirong Liu, Rui Wang, Pengchuan Zhang +6

Objection detection (OD) has been one of the most fundamental tasks in computer vision. Recent developments in deep learning have pushed the performance of image OD to new heights…