Media Summary: Excited to share our new work and new dataset on LiDAR semantic segmentation. Title: SFPNet: MERL intern Deepti Hegde and MERL researchers Suhas Lohit, Kuan-Chuan Peng and Michael J. Jones present their paper ... RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation More information: ...

Eccv 2024 Sparse Focal Point - Detailed Analysis & Overview

Excited to share our new work and new dataset on LiDAR semantic segmentation. Title: SFPNet: MERL intern Deepti Hegde and MERL researchers Suhas Lohit, Kuan-Chuan Peng and Michael J. Jones present their paper ... RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation More information: ... Recovering the camera motion and scene geometry from visual data is a fundamental problem in computer vision. Its success in ... Paper: Code: GeMap achieves new state-of-the-art performance ... Short video explaining the paper "Neural Surface Detection for Unsigned Distance Fields", accepted for poster presentation at ...

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images”( Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar Intel Labs Project page: ... Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer Eric Brachmann, Jamie ... This paper introduces a novel architecture for trajectory-conditioned forecasting of future 3D scene occupancy. In contrast to ... Novel view synthesis generates new perspectives of a scene from a set of 2D images, enabling 3D applications like VR/AR, ... Manuel Del Castillo, VP of business development at

Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim (2026) “Dense Metric Depth Completion from ... This is the official presentation video of the paper "Self-Adapting Large Visual-Language Models to Edge Devices across Visual ... First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science ...

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(ECCV 2024) Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
[ECCV 2024] Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Spectral Subsurface Scattering for Material Classification [ECCV 2024]
ECCV 2024 Oral Paper - RAPiD-Seg Range-Aware Pointwise Distance Distribution for LiDAR Segmentation
Motion and Structure from Event-based Normal Flow (ECCV 2024)
[ECCV' 2024] Online Vectorized HD Map Construction Using Geometry
Neural Surface Detection for Unsigned Distance Fields - ECCV 2024
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)
[ECCV 2022] Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection
[ECCV 2024 – Oral] Scene Coordinate Reconstruction: Posing of Images via Incremental Learning
[CVPR 2026 Oral] SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model
ECCV 2024 Redux: Day 1 - Fast and Photo-realistic Novel View Synthesis from Sparse Images
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(ECCV 2024) Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds

(ECCV 2024) Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds

Excited to share our new work and new dataset on LiDAR semantic segmentation. Title: SFPNet:

[ECCV 2024] Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection

[ECCV 2024] Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection

MERL intern Deepti Hegde and MERL researchers Suhas Lohit, Kuan-Chuan Peng and Michael J. Jones present their paper ...

Sponsored
Spectral Subsurface Scattering for Material Classification [ECCV 2024]

Spectral Subsurface Scattering for Material Classification [ECCV 2024]

https://github.com/Image-Science-Lab-cmu/S4Imaging.

ECCV 2024 Oral Paper - RAPiD-Seg Range-Aware Pointwise Distance Distribution for LiDAR Segmentation

ECCV 2024 Oral Paper - RAPiD-Seg Range-Aware Pointwise Distance Distribution for LiDAR Segmentation

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation More information: ...

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Motion and Structure from Event-based Normal Flow (ECCV 2024)

Recovering the camera motion and scene geometry from visual data is a fundamental problem in computer vision. Its success in ...

Sponsored
[ECCV' 2024] Online Vectorized HD Map Construction Using Geometry

[ECCV' 2024] Online Vectorized HD Map Construction Using Geometry

Paper: https://arxiv.org/abs/2312.03341 Code: https://github.com/cnzzx/GeMap GeMap achieves new state-of-the-art performance ...

Neural Surface Detection for Unsigned Distance Fields - ECCV 2024

Neural Surface Detection for Unsigned Distance Fields - ECCV 2024

Short video explaining the paper "Neural Surface Detection for Unsigned Distance Fields", accepted for poster presentation at ...

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images (ECCV 2024)

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images”(

[ECCV 2022] Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

[ECCV 2022] Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar Intel Labs Project page: ...

[ECCV 2024 – Oral] Scene Coordinate Reconstruction: Posing of Images via Incremental Learning

[ECCV 2024 – Oral] Scene Coordinate Reconstruction: Posing of Images via Incremental Learning

Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer Eric Brachmann, Jamie ...

[CVPR 2026 Oral] SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

[CVPR 2026 Oral] SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model

This paper introduces a novel architecture for trajectory-conditioned forecasting of future 3D scene occupancy. In contrast to ...

ECCV 2024 Redux: Day 1 - Fast and Photo-realistic Novel View Synthesis from Sparse Images

ECCV 2024 Redux: Day 1 - Fast and Photo-realistic Novel View Synthesis from Sparse Images

Novel view synthesis generates new perspectives of a scene from a set of 2D images, enabling 3D applications like VR/AR, ...

Interview at ADAS & AV Tech Expo 2024

Interview at ADAS & AV Tech Expo 2024

Manuel Del Castillo, VP of business development at

[CVPR 2026] Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors

[CVPR 2026] Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors

Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim (2026) “Dense Metric Depth Completion from ...

[ECCV 2024]  Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

[ECCV 2024] Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

The video for

[ECCV 2024] Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities

[ECCV 2024] Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities

This is the official presentation video of the paper "Self-Adapting Large Visual-Language Models to Edge Devices across Visual ...

[CVPR 2026] Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors

[CVPR 2026] Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors

Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim (2026) “Dense Metric Depth Completion from ...

Point Spread Function | Depth from Defocus

Point Spread Function | Depth from Defocus

First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science ...

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