activity
20222026
most citedPSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PrismGPT: Proxy-Guided Learning for Region-Aware Photo Editing with Self-Synthesized Reasoning

Ke Zhao, Hue Nguyen, Abhijith Punnappurath +3

Professional photo finishing relies on both global adjustments and region-specific local edits guided by semantic masks, yet current automated methods handle this workflow only par…

cs.CV2026

AVIS: Adaptive Test-Time Scaling for Vision-Language Models

Ahmadreza Jeddi, Minh Ngoc Le, Amirhossein Kazerouni +8

Modern Vision-Language Models (VLMs) benefit from chain-of-thought prompting and test-time scaling, but these gains often come with prohibitive inference cost due to large visual c…

cs.CV2025

PuzzleCraft: Exploration-Aware Curriculum Learning for Puzzle-Based RLVR in VLMs

Ahmadreza Jeddi, Hakki Can Karaimer, Hue Nguyen +8

RL post-training with verifiable rewards (RLVR) has become a practical route to eliciting chain-of-thought reasoning in vision--language models (VLMs), but scaling it in the visual…

cs.CV2025

Edit-aware RAW Reconstruction

Abhijith Punnappurath, Luxi Zhao, Ke Zhao +3

Users frequently edit camera images post-capture to achieve their preferred photofinishing style. While editing in the RAW domain provides greater accuracy and flexibility, most ed…

cs.CV2022★ 4 cited

PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement

Hue Nguyen, Diep Tran, Khoi Nguyen +1

The extremes of lighting (e.g. too much or too little light) usually cause many troubles for machine and human vision. Many recent works have mainly focused on under-exposure cases…