Media Summary: Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. " Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Thanks to the invitation from , this is the presentation video of our work at

Cvpr 2026 Deformation Based In Context Learning For Point Cloud Understanding - Detailed Analysis & Overview

Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. " Video presentation for "STALL: Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods", presented at ... Thanks to the invitation from , this is the presentation video of our work at NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity. This video presents our work, SAGE, accepted as a poster at MERL researcher Pedro Miraldo presents the paper “Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling” at the ...

[CVPR 2026] BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

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[CVPR 2026] Deformation-based In-Context Learning for Point Cloud Understanding
CVPR 2026 Paper Pre
CVPR 2026
CVPR 2026: Retrieving Counterfactuals Improves Visual In-Context Learning
Language-guided Frequency Modulation for Large Vision-Language Models | CVPR 2026 Paper Presentation
[CVPR 2026] Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods
[CVPR 2026] VAD-GS
[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation
[CVPR 2026 Highlight] DocSeeker
CVPR 2026 Presentation of NeuroFlow
Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding | CVPR 2026
DiffusionFF (CVPR 2026)
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[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. "

CVPR 2026 Paper Pre

CVPR 2026 Paper Pre

Adapting In-

CVPR 2026

CVPR 2026

CVPR 2026

CVPR 2026: Retrieving Counterfactuals Improves Visual In-Context Learning

CVPR 2026: Retrieving Counterfactuals Improves Visual In-Context Learning

Homepage: https://gzxiong.github.io/CIRCLES Paper: https://arxiv.org/abs/2603.16737 Code: ...

Language-guided Frequency Modulation for Large Vision-Language Models | CVPR 2026 Paper Presentation

Language-guided Frequency Modulation for Large Vision-Language Models | CVPR 2026 Paper Presentation

This video presents our

[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] VAD-GS

[CVPR 2026] VAD-GS

CVPR 2026

[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation

[CVPR 2026] Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation

Thanks to the invitation from @ComputerVisionFoundation, this is the presentation video of our work at

[CVPR 2026 Highlight] DocSeeker

[CVPR 2026 Highlight] DocSeeker

CVPR 2026

CVPR 2026 Presentation of NeuroFlow

CVPR 2026 Presentation of NeuroFlow

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

Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding | CVPR 2026

Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding | CVPR 2026

This video presents our

DiffusionFF (CVPR 2026)

DiffusionFF (CVPR 2026)

DiffusionFF: A Diffusion-

[CVPR 2026] CarlaOcc

[CVPR 2026] CarlaOcc

CVPR 2026

CVPR 2026 (Main conference): Point Cloud as a Foreign Language for Multi-modal Large Language Model

CVPR 2026 (Main conference): Point Cloud as a Foreign Language for Multi-modal Large Language Model

This video presents our work, SAGE, accepted as a poster at

[CVPR 2026] Hyper-PCN: Hypergraph-Based Point Cloud Completion via High-Order Correlation Modeling

[CVPR 2026] Hyper-PCN: Hypergraph-Based Point Cloud Completion via High-Order Correlation Modeling

CVPR 2026

Calibri paper explained | CVPR 2026

Calibri paper explained | CVPR 2026

Calibri paper explained | CVPR 2026

[CVPR 2026] Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling

[CVPR 2026] Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling

MERL researcher Pedro Miraldo presents the paper “Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling” at the ...

[CVPR 2026] BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

[CVPR 2026] BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

[CVPR 2026] BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds

[CVPR 2026] Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection

[CVPR 2026] Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection

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