Media Summary: Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. EXOTIC: External Vision Guided Incomplete [CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels

Cvpr 2026 Learning Multi View - Detailed Analysis & Overview

Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. EXOTIC: External Vision Guided Incomplete [CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels [CVPR 2026] Unleashing the Intrinsic Visual Representation Capability of MLLMs (CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark MERL researcher Pedro Miraldo presents the paper “Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling” at the ...

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[CVPR 2026] Learning Multi-View Spatial Reasoning from Cross-View Relations
[CVPR 2026 Findings] Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas
[CVPR 2026] Bootstrapping Multi-view Learning for Test-time Noisy Correspondence
[CVPR 2026]
CVPR 2026
EXOTIC: External Vision Guided Incomplete Multi-view Classification (CVPR 2026)
[CVPR 2026 Oral] PoseGAM: Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning
[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels
CVPR 2026 (Oral) - Understanding Task Transfer in Vision-Language Models (in person)
CVPR 2026: Retrieving Counterfactuals Improves Visual In-Context Learning
[CVPR 2026] Unleashing the Intrinsic Visual Representation Capability of MLLMs
(CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark
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[CVPR 2026] Learning Multi-View Spatial Reasoning from Cross-View Relations

[CVPR 2026] Learning Multi-View Spatial Reasoning from Cross-View Relations

Accepted to

[CVPR 2026 Findings] Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas

[CVPR 2026 Findings] Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas

Project page: fwmb.github.io/stepper.

[CVPR 2026] Bootstrapping Multi-view Learning for Test-time Noisy Correspondence

[CVPR 2026] Bootstrapping Multi-view Learning for Test-time Noisy Correspondence

Paper: Bootstrapping

[CVPR 2026]

[CVPR 2026]

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

CVPR 2026

CVPR 2026

CVPR 2026

EXOTIC: External Vision Guided Incomplete Multi-view Classification (CVPR 2026)

EXOTIC: External Vision Guided Incomplete Multi-view Classification (CVPR 2026)

EXOTIC: External Vision Guided Incomplete

[CVPR 2026 Oral] PoseGAM: Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning

[CVPR 2026 Oral] PoseGAM: Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning

Presentation for

[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels

[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels

[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels

CVPR 2026 (Oral) - Understanding Task Transfer in Vision-Language Models (in person)

CVPR 2026 (Oral) - Understanding Task Transfer in Vision-Language Models (in person)

Project Page: https://aka.ms/task-transfer-vlms Paper: https://arxiv.org/abs/2511.18787.

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: ...

[CVPR 2026] Unleashing the Intrinsic Visual Representation Capability of MLLMs

[CVPR 2026] Unleashing the Intrinsic Visual Representation Capability of MLLMs

[CVPR 2026] Unleashing the Intrinsic Visual Representation Capability of MLLMs

(CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark

(CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark

(CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark

[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 ...