Media Summary: Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle ... This video describes the main ideas of our Ruohan Gao & Kristen Grauman Paper: Project Page: ...

Iccv 2019 Oral Shellnet Efficient - Detailed Analysis & Overview

Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle ... This video describes the main ideas of our Ruohan Gao & Kristen Grauman Paper: Project Page: ... Semi-Supervised Learning with distribution alignment and data augmentation Paper: Code: ... A short live demo example of OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching. In this paper, we explore the spatial redundancy in video recognition with the aim to improve the computational

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how ... Video completion comparions on DAVIS set with shadow annotations. Onion-Peel Networks for Deep Video Completion Seoung ...

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ICCV 2019 Oral - ShellNet: Efficient Point Cloud Convolutional Neural Networks
ICCV 2019 oral: WDST for Perception-distortion Trade-off in Single Image Super-Resolution
ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation (Supplemental Results)
Co-Separating Sounds of Visual Objects (ICCV 2019)
[ICCV 2019] Semi-Supervised Learning by Augmented Distribution Alignment
Short Live Demo of OmniMVS (ICCV 2019)
ICCV 2019 Neural Architects: Introduction
[ICCV-2021 Oral] Adaptive Focus for Efficient Video Recognition
PuppetGAN: Cross-Domain Image Manipulation by Demonstration [ICCV 2019 Oral]
PlenOctrees - ICCV Oral Video
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ICCV 2019 Oral - ShellNet: Efficient Point Cloud Convolutional Neural Networks

ICCV 2019 Oral - ShellNet: Efficient Point Cloud Convolutional Neural Networks

Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle ...

ICCV 2019 oral: WDST for Perception-distortion Trade-off in Single Image Super-Resolution

ICCV 2019 oral: WDST for Perception-distortion Trade-off in Single Image Super-Resolution

ICCV 2019 oral

ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation

ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation

Presentation video for the

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

This video describes the main ideas of our

ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation (Supplemental Results)

ICCV 2019 View-Consistent 4D Light Field Superpixel Segmentation (Supplemental Results)

Supplemental results video for the

Co-Separating Sounds of Visual Objects (ICCV 2019)

Co-Separating Sounds of Visual Objects (ICCV 2019)

Ruohan Gao & Kristen Grauman Paper: http://arxiv.org/abs/1904.07750 Project Page: ...

[ICCV 2019] Semi-Supervised Learning by Augmented Distribution Alignment

[ICCV 2019] Semi-Supervised Learning by Augmented Distribution Alignment

Semi-Supervised Learning with distribution alignment and data augmentation Paper: https://arxiv.org/abs/1905.08171 Code: ...

Short Live Demo of OmniMVS (ICCV 2019)

Short Live Demo of OmniMVS (ICCV 2019)

A short live demo example of OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching.

ICCV 2019 Neural Architects: Introduction

ICCV 2019 Neural Architects: Introduction

Program outline for

[ICCV-2021 Oral] Adaptive Focus for Efficient Video Recognition

[ICCV-2021 Oral] Adaptive Focus for Efficient Video Recognition

In this paper, we explore the spatial redundancy in video recognition with the aim to improve the computational

PuppetGAN: Cross-Domain Image Manipulation by Demonstration [ICCV 2019 Oral]

PuppetGAN: Cross-Domain Image Manipulation by Demonstration [ICCV 2019 Oral]

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how ...

PlenOctrees - ICCV Oral Video

PlenOctrees - ICCV Oral Video

12mins

Onion-Peel Networks for Deep Video Completion (ICCV 2019)

Onion-Peel Networks for Deep Video Completion (ICCV 2019)

Video completion comparions on DAVIS set with shadow annotations. Onion-Peel Networks for Deep Video Completion Seoung ...