Perception Programs Cvpr 2026

Media Summary: Video for the paper "Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

Perception Programs Cvpr 2026 - Detailed Analysis & Overview

Video for the paper "Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ... Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. "Deformation-based In-Context Learning for Point Cloud Understanding. Joonki Min, Chaeyun Kim, Hyungwook Choi, Yejin Kim, Kihyun Kim, Yohan Jo, Joonseok Lee. Fine-Grained Multi-Image Object ...

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity. Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. Omni-Attribute encodes a high-fidelity, attribute-specific image representation, that enables coherent synthesis of the ...

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Perception Programs - CVPR 2026

[CVPR 2026] Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods

[CVPR 2026] CarlaOcc

[CVPR 2026] Linking Perception, Confidence and Accuracy in MLLMs

[CVPR 2026] Visual PersonalizationTuring Test

[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation

[CVPR 2026] Deformation-based In-Context Learning for Point Cloud Understanding

[CVPR 2026] Fine-Grained Multi-Image Object Hallucination Benchmark

CVPR 2026 Presentation of NeuroFlow

[CVPR 2026]

CVPR 2026 Main Paper DEVA: Fine-tuning Multimodal Large Language Models for Visual Perception Tasks

[CVPR 2026] UniPR

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Perception Programs - CVPR 2026

Perception Programs - CVPR 2026

Video for the paper "Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via

[CVPR 2026] Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods

[CVPR 2026] Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods

Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ...

[CVPR 2026] CarlaOcc

[CVPR 2026] CarlaOcc

CVPR 2026

[CVPR 2026] Linking Perception, Confidence and Accuracy in MLLMs

[CVPR 2026] Linking Perception, Confidence and Accuracy in MLLMs

[

[CVPR 2026] Visual PersonalizationTuring Test

[CVPR 2026] Visual PersonalizationTuring Test

Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation

[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation

Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ...

[CVPR 2026] Deformation-based In-Context Learning for Point Cloud Understanding

[CVPR 2026] Deformation-based In-Context Learning for Point Cloud Understanding

Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. "Deformation-based In-Context Learning for Point Cloud Understanding.

[CVPR 2026] Fine-Grained Multi-Image Object Hallucination Benchmark

[CVPR 2026] Fine-Grained Multi-Image Object Hallucination Benchmark

Joonki Min, Chaeyun Kim, Hyungwook Choi, Yejin Kim, Kihyun Kim, Yohan Jo, Joonseok Lee. Fine-Grained Multi-Image Object ...

CVPR 2026 Presentation of NeuroFlow

CVPR 2026 Presentation of NeuroFlow

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity.

[CVPR 2026]

[CVPR 2026]

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement.

CVPR 2026 Main Paper DEVA: Fine-tuning Multimodal Large Language Models for Visual Perception Tasks

CVPR 2026 Main Paper DEVA: Fine-tuning Multimodal Large Language Models for Visual Perception Tasks

This is the presentation for our

[CVPR 2026] UniPR

[CVPR 2026] UniPR

UniPR: Unified Object-level Real-to-Sim

[CVPR 2026] Omni-Attribute - Technical Presentation

[CVPR 2026] Omni-Attribute - Technical Presentation

Omni-Attribute encodes a high-fidelity, attribute-specific image representation, that enables coherent synthesis of the ...