2 citations · 3 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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 Computer Vision
Haichao Wang, Xinyue Xi, Jiangtao Wen +1
Existing computer vision processing pipeline acquires visual information using an image sensor that captures pixel information in the Bayer pattern. The raw sensor data are then pr…
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
Yuxing Han, Yunan Ding, Chen Ye Gan +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video conten…
Judging a video by its bitstream cover
Yuxing Han, Yunan Ding, Jiangtao Wen +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of v…