From the 1 of 9 linked papers with an AI index.
8 papers
Decoder-Guided Lossy Contour Coding Via Anchor Refinement
Ruoyu Yang, Yichi Zhang, Haohong Wang +1
The paper proposes a lossy contour coding scheme that leverages a decoder‑available coarse contour as side information, using anchor extraction and adaptive skipping to achieve a c…
Adaptive Greedy Frame Selection for Long Video Understanding
Yuning Huang, Xiaoyu Ji, Joseph Huang +2
Large vision--language models (VLMs) are increasingly applied to long-video question answering, yet inference is often bottlenecked by the number of input frames and resulting visu…
Uni-LVC: A Unified Method for Intra- and Inter-Mode Learned Video Compression
Yichi Zhang, Ruoyu Yang, Fengqing Zhu
Recent advances in learned video compression (LVC) have led to significant performance gains, with codecs such as DCVC-RT surpassing the H.266/VVC low-delay mode in compression eff…
Leveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical Evidence
Yichi Zhang, Fengqing Zhu
Training learned image compression (LIC) models entails navigating a challenging optimization landscape defined by the fundamental trade-off between rate and distortion. Standard f…
OpenDCVCs: A PyTorch Open Source Implementation and Performance Evaluation of the DCVC series Video Codecs
Yichi Zhang, Fengqing Zhu
We present OpenDCVCs, an open-source PyTorch implementation designed to advance reproducible research in learned video compression. OpenDCVCs provides unified and training-ready im…
Low-Rank Adaptation of Pre-trained Vision Backbones for Energy-Efficient Image Coding for Machine
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Image Coding for Machines (ICM) focuses on optimizing image compression for AI-driven analysis rather than human perception. Existing ICM frameworks often rely on separate codecs f…