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20232026
most citedDecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

5 citations · 16 across the 23 of their papers we have counts for

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13 papers · 1 filter

cs.CV2026

CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences

Fangzhou Lin, Peiran Li, Lingyu Xu +12

Instruction-guided image editing is becoming a general interface for visual work, yet existing benchmarks still focus largely on narrow appearance edits and do not fully capture th…

cs.CV2026

Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery

Peiran Li, Fangzhou Lin, Shuo Xing +5

Autonomous scientific discovery is entering a more dangerous regime: once the evaluator is frozen, a sufficiently strong search process can learn to win the exam without learning t…

cs.CV2026

ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation

Mingyang Wu, Ashirbad Mishra, Soumik Dey +5

Image-to-Video generation (I2V) animates a static image into a temporally coherent video sequence following textual instructions, yet preserving fine-grained object identity under…

cs.CV2025

Q-Router: Agentic Video Quality Assessment with Expert Model Routing and Artifact Localization

Shuo Xing, Soumik Dey, Mingyang Wu +5

Video quality assessment (VQA) is a fundamental computer vision task that aims to predict the perceptual quality of a given video in alignment with human judgments. Existing perfor…

cs.CV2025

VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results

Yixiao Li, Xin Li, Chris Wei Zhou +28

This paper presents the ISRGC-Q Challenge, built upon the Image Super-Resolution Generated Content Quality Assessment (ISRGen-QA) dataset, and organized as part of the Visual Quali…

cs.CV2025

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Shuo Xing, Lanqing Guo, Hongyuan Hua +5

Recent Multimodal Large Language Models (MLLMs) excel on benchmark vision-language tasks, yet little is known about how input visual quality shapes their responses. Does higher per…