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20192026
most citedHybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks

27 citations · 58 across the 28 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

Error-Propagation-Free Learned Video Compression With Dual-Domain Progressive Temporal Alignment

Han Li, Shaohui Li, Wenrui Dai +5

Existing frameworks for learned video compression suffer from a dilemma between inaccurate temporal alignment and error propagation for motion estimation and compensation (ME/MC).…

cs.CV2025

3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering

Junyu Zhou, Yuyang Huang, Wenrui Dai +5

Recent prominence in 3D Gaussian Splatting (3DGS) has enabled real-time rendering while maintaining high-fidelity novel view synthesis. However, 3DGS resorts to the Gaussian functi…

cs.CV2025

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models

Yuchen Liu, Yaoming Wang, Bowen Shi +5

Vision encoders serve as the cornerstone of multimodal understanding. Single-encoder architectures like CLIP exhibit inherent constraints in generalizing across diverse multimodal…

cs.CV2025

Noise Conditional Variational Score Distillation

Xinyu Peng, Ziyang Zheng, Yaoming Wang +6

We propose Noise Conditional Variational Score Distillation (NCVSD), a novel method for distilling pretrained diffusion models into generative denoisers. We achieve this by reveali…

cs.CV2025

HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation

Hongwei Zheng, Han Li, Wenrui Dai +4

Existing 2D-to-3D human pose estimation (HPE) methods struggle with the occlusion issue by enriching information like temporal and visual cues in the lifting stage. In this paper,…

eess.IV2025

On Disentangled Training for Nonlinear Transform in Learned Image Compression

Han Li, Shaohui Li, Wenrui Dai +5

Learned image compression (LIC) has demonstrated superior rate-distortion (R-D) performance compared to traditional codecs, but is challenged by training inefficiency that could in…