activity
20232026
most citedMambaVC: Learned Visual Compression with Selective State Spaces

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Tail-Aware Post-Training Quantization for 3D Geometry Models

Sicheng Pan, Chen Tang, Shuzhao Xie +6

The burgeoning complexity and scale of 3D geometry models pose significant challenges for deployment on resource-constrained platforms. While Post-Training Quantization (PTQ) enabl…

cs.IT2025

EDPC: Accelerating Lossless Compression via Lightweight Probability Models and Decoupled Parallel Dataflow

Zeyi Lu, Xiaoxiao Ma, Yujun Huang +4

The explosive growth of multi-source multimedia data has significantly increased the demands for transmission and storage, placing substantial pressure on bandwidth and storage inf…

cs.CV2024

3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors

Yujun Huang, Bin Chen, Niu Lian +2

Existing multi-view image compression methods often rely on 2D projection-based similarities between views to estimate disparities. While effective for small disparities, such as t…

eess.IV2024★ 3 cited

MambaVC: Learned Visual Compression with Selective State Spaces

Shiyu Qin, Jinpeng Wang, Yimin Zhou +6

Learned visual compression is an important and active task in multimedia. Existing approaches have explored various CNN- and Transformer-based designs to model content distribution…

cs.CV2024

MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network

Yujun Huang, Bin Chen, Naiqi Li +3

Conventional compressed sensing (CS) algorithms typically apply a uniform sampling rate to different image blocks. A more strategic approach could be to allocate the number of meas…

eess.IV2023

FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information

Yichong Xia, Yujun Huang, Bin Chen +2

Multi-view compression technology, especially Stereo Image Compression (SIC), plays a crucial role in car-mounted cameras and 3D-related applications. Interestingly, the Distribute…