9 citations · 25 across the 20 of their papers we have counts for
7 papers · 1 filter
ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows
Zhitao Wang, Yanke Wang, Jiangtao Wen +2
Robotic manipulation in unstructured environments requires the generation of robust and long-horizon trajectory-level policy with conditions of perceptual observations and benefits…
Efficient Bayer-Domain Video Computer Vision with Fast Motion Estimation and Learned Perception Residual
Haichao Wang, Jiangtao Wen, Yuxing Han
Video computer vision systems face substantial computational burdens arising from two fundamental challenges: eliminating unnecessary processing and reducing temporal redundancy in…
It Takes a Good Model to Train a Good Model: Generalized Gaussian Priors for Optimized LLMs
Jun Wu, Patrick Huang, Jiangtao Wen +1
Despite rapid progress in large language models (LLMs), the statistical structure of their weights, activations, and gradients-and its implications for initialization, training dyn…
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu, Jiangtao Wen, Yuxing Han
The rapid advancement of large-language models (LLMs) has driven extensive research into parameter compression after training has been completed, yet compression during the trainin…
Flow Intelligence: Robust Feature Matching via Temporal Signature Correlation
Jie Wang, Chen Ye Gan, Caoqi Wei +2
Feature matching across video streams remains a cornerstone challenge in computer vision. Increasingly, robust multimodal matching has garnered interest in robotics, surveillance,…
Vision without Images: End-to-End Computer Vision from Single Compressive Measurements
Fengpu Pan, Heting Gao, Jiangtao Wen +1
Snapshot Compressed Imaging (SCI) offers high-speed, low-bandwidth, and energy-efficient image acquisition, but remains challenged by low-light and low signal-to-noise ratio (SNR)…
Leveraging Motion Estimation for Efficient Bayer-Domain Video Convolutional Networks
Haichao Wang, Xinyue Xi, Jiangtao Wen +1
Existing computer vision pipelines suffer from two efficiency bottlenecks: image signal processors (ISPs) first convert Bayer pixel data to RGB pixel by pixel, and video models rep…