Quick Overview: This is a paper on how to make the explanation of classification models faithful to the classification results (category+ Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ...
Cvpr 2026 Linking Perception Confidence - Detailed Overview & Context
This is a paper on how to make the explanation of classification models faithful to the classification results (category+ Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ... Title: MUFASA: A Multi-Layer Framework for Slot Attention Authors: Sebastian Bock*, Leonie Schüßler*, Krishnakant Singh, ... Video for the paper "Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via
NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity. [CVPR 2026] Breaking the Regional Perception Bottleneck of MLLMs via External Reasoning Framework [CVPR 2026] Hear What You See: Video-to-Audio Generation with Diffusion Transformer and STAR-DPO PAMotion: Physics-Aware Motion Generation for Full-Body Interaction with Multiple Objects. Authors:Yan Di, Yuheng Li, Yaoxing ... Hyun Lee, Hyemin Jeong, Yejin Kim, Hyungwook Choi, Hyunsoo Cho, Soo Kyung Kim, Joonseok Lee. A More Word-like Image ... Kiseok Choi, Hyeongjun Cho, Inchul Kim, Min H. Kim (
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