activity
20152026
most citedSoft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

355 citations · 2.7k across the 325 of their papers we have counts for

collaborators
Showing 2026Show all

61 papers · 1 filter

cs.CV2026

Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark

Yuedong Tan, Lei Qi, Yu Liu +13

Embodied systems must make knowledge acquired during one encounter usable in another despite changes in viewpoint, motion, and illumination. Yet aggregate cross-video accuracy conf…

cs.CV2026

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

Andrei Arhire, Mihaela-Elena Breabăn, Radu Timofte

We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise decoder. LightMIS aligns th…

cs.CV2026

Benchmarking RAW and RGB Restoration in Image Signal Processors

Zihao Lu, Radu Timofte, Marcos V. Conde

Modern cameras transform RAW sensor measurements into sRGB images through an image signal processor (ISP). We benchmark two placements for blind restoration around a fixed ISP: (A)…

cs.CV2026

Elastic Token Compression for Pixel-Space Diffusion Transformers

Eduard Zamfir, Christian Reisswig, Zongwei Wu +2

Natural images concentrate their detail in a small fraction of the frame, yet diffusion models spend a full token on every patch, in every layer and at every timestep. The waste is…

cs.CV2026

Glass Surface Detection Grounded in 3D Visual Geometry

Yiwei Lu, Ke Xu, Tao Yan +3

Glass surface detection (GSD) is critical for scene understanding and reconstruction, and yet remains challenging due to the transparency and reflectivity of glass surfaces. Existi…

cs.LG2026

Curating Same-Family Neural Networks for LLM-Guided Model Improvement: A Controlled Case Study

Kabir Dev Paul Baghel, Radu Timofte, Dmitry Ignatov

Neural-network repositories contain executable models, recipes, input transformations, and measured accuracies. We study whether one same-family experiment can be curated as prompt…