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20182026
most citedEfficient Semantic Segmentation by Altering Resolutions for Compressed Videos

2 citations · 3 across the 15 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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,…

cs.CV2025

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)…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2023

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…