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08/20/2023
Domain Reduction Strategy for Non Line of Sight Imaging
This paper presents a novel optimization-based method for non-line-of-si...
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03/31/2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Object-centric learning (OCL) aspires general and compositional understa...
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11/17/2022
ComMU: Dataset for Combinatorial Music Generation
Commercial adoption of automatic music composition requires the capabili...
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11/16/2022
A Generalized Framework for Video Instance Segmentation
Recently, handling long videos of complex and occluded sequences has eme...
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11/11/2022
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
Temporal Action Localization (TAL) methods typically operate on top of f...
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07/21/2022
Error Compensation Framework for Flow-Guided Video Inpainting
The key to video inpainting is to use correlation information from as ma...
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06/09/2022
VITA: Video Instance Segmentation via Object Token Association
We introduce a novel paradigm for offline Video Instance Segmentation (V...
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06/05/2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos
Recently, both long-tailed recognition and object tracking have made gre...
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12/08/2021
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
For online video instance segmentation (VIS), fully utilizing the inform...
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11/29/2021
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) is a newly suggested video under...
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06/22/2021
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach
Generic Event Boundary Detection (GEBD) is a newly introduced task that ...
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06/07/2021
Video Instance Segmentation using Inter-Frame Communication Transformers
We propose a novel end-to-end solution for video instance segmentation (...
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05/30/2021
Polygonal Point Set Tracking
In this paper, we propose a novel learning-based polygonal point set tra...
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04/16/2021
Temporally smooth online action detection using cycle-consistent future anticipation
Many video understanding tasks work in the offline setting by assuming t...
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12/03/2020
Single-shot Path Integrated Panoptic Segmentation
Panoptic segmentation, which is a novel task of unifying instance segmen...
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07/17/2020
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling
We propose an attention-based networks for transferring motions between ...
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04/06/2020
Deep Space-Time Video Upsampling Networks
Video super-resolution (VSR) and frame interpolation (FI) are traditiona...
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03/20/2020
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
We propose a novel memory-based tracker via part-level dense memory and ...
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03/20/2020
Learning the Loss Functions in a Discriminative Space for Video Restoration
With more advanced deep network architectures and learning schemes such ...
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10/04/2019
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
We propose a deep video prediction model conditioned on a single image a...
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08/30/2019
Copy-and-Paste Networks for Deep Video Inpainting
We present a novel deep learning based algorithm for video inpainting. V...
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08/23/2019
Onion-Peel Networks for Deep Video Completion
We propose the onion-peel networks for video completion. Given a set of ...
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04/22/2019
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
We present a deep learning method for the interactive video object segme...
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04/01/2019
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
Time-lapse videos usually contain visually appealing content but are oft...
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04/01/2019
Video Object Segmentation using Space-Time Memory Networks
We propose a novel solution for semi-supervised video object segmentatio...
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10/29/2018
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
This paper addresses the problem of manipulating images using natural la...
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04/06/2018
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
Light field cameras capture both the spatial and the angular properties ...
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07/26/2017
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network
We present a novel deep learning framework that models the scene depende...
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06/26/2017
Deep Semantics-Aware Photo Adjustment
Automatic photo adjustment is to mimic the photo retouching style of pro...
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05/22/2017
Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks
An image is a very effective tool for conveying emotions. Many researche...
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08/29/2016