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20182026
most citedRevisiting Random Channel Pruning for Neural Network Compression

7 citations · 11 across the 16 of their papers we have counts for

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cs.CV2026

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Yan Shu +60

This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a…

cs.CV2026

ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration

Leheng Zhang, Wei Long, Yawei Li +3

Recently, Transformers have gained significant popularity in image restoration tasks such as image super-resolution and denoising, owing to their superior performance. However, bal…

cs.CV2026

Efficient Autoregressive Video Diffusion with Dummy Head

Hang Guo, Zhaoyang Jia, Jiahao Li +5

The autoregressive video diffusion model has recently gained considerable research interest due to its causal modeling and iterative denoising. In this work, we identify that the m…

cs.CV2025

WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition

Yanlong Chen, Mattia Orlandi, Pierangelo Maria Rapa +3

Human-machine interaction, particularly in prosthetic and robotic control, has seen progress with gesture recognition via surface electromyographic (sEMG) signals.However, classify…

cs.CV2025

Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization

Bin Ren, Yawei Li, Xu Zheng +6

Degradation-agnostic image restoration aims to handle diverse corruptions with one unified model, but faces fundamental challenges in balancing efficiency and performance across di…

cs.CV2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Lei Sun +143

This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…