Media Summary: Long-form video reasoning remains a critical challenge for Video LLMs, as static uniform frame sampling causes information ... Short presentation of "No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading ... Large-Scale Codec Avatars (LCA): The Unreasonable Effectiveness of Large-Scale Avatar Pretraining
Cvpr 2026 Select Less Reason - Detailed Analysis & Overview
Long-form video reasoning remains a critical challenge for Video LLMs, as static uniform frame sampling causes information ... Short presentation of "No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading ... Large-Scale Codec Avatars (LCA): The Unreasonable Effectiveness of Large-Scale Avatar Pretraining Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Paper: Project Page: Authors/Affiliations: [Seungho ... Exemplar-Free Continual Learning for State Space Models (CVPR 2026)
This is a paper on how to make the explanation of classification models faithful to the classification results (category+confidence ... [CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels [CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs a 5-min short video introducing our published work at [CVPR 2026 Highlight] Visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering