[Arxiv 2022] MIMT: Multi-Illuminant Color Constancy via Multi-Task Local Surface and Light Color Learning
A multi-task learning framework for color constancy under multiple illuminants via joint local surface and light color estimation.
Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
[IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing] A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery
A generative adversarial network-based approach for change detection in multispectral remote sensing images.
[IEEE Geoscience and Remote Sensing Letters] Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images
A log-based feature transformation method for detecting changes in heterogeneous remote sensing image pairs.
Conference Papers
[ECCV 2026] UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models
The first VLM training framework for AI-generated image detection without reasoning annotations, achieving 96.7% / 82.4% accuracy on GenImage / Chameleon.
[ICML 2026] FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification
A multi-modal object re-identification framework that aligns cross-modal representations via frequency-domain unification and spectral energy alignment.
[CVPR 2026] White-Balance First, Adjust Later: Cross-Camera Color Constancy via Vision-Language Evaluation
Reformulates color constancy as an iterative perceptual-feedback process using VLMs, achieving 36.8% reduction in mean angular error and 43.6% in Worst-25% error on the Gehler-Shi dataset.
[AAAI 2026] Aggregating Diverse Cue Experts for AI-Generated Image Detection
Proposes a Mixture-of-Encoder Adapter (MoEA) framework that integrates diverse cues for robust AI-generated image detection, achieving 89.7% average accuracy on GenImage.
[AAAI 2026 (Oral)] Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation
The first I2I translation framework that actively detects and suppresses target-class hallucinations using a dual-head discriminator with SAM2 pseudo-labels, improving mAP by +15.5% on BDD100K day-to-night adaptation. Oral presentation.
[CVPR 2024] NightCC: Nighttime Color Constancy via Adaptive Channel Masking
An unsupervised domain-adaptation pipeline for nighttime color constancy using Adaptive Channel Masking and a Light Uncertainty module, reducing mean angular error by 21.5% over prior state-of-the-art.