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04/21/2023
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
Mixed reality applications require tracking the user's full-body motion ...
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04/17/2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
With the recent surge in popularity of AR/VR applications, realistic and...
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03/25/2023
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
Surface reconstruction has been seeing a lot of progress lately by utili...
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03/15/2023
Re-ReND: Real-time Rendering of NeRFs across Devices
This paper proposes a novel approach for rendering a pre-trained Neural ...
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02/10/2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition
Deep Neural Networks (DNNs) lack robustness against imperceptible pertur...
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12/05/2021
Snapshot HDR Video Construction Using Coded Mask
This paper study the reconstruction of High Dynamic Range (HDR) video fr...
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09/12/2021
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition
Understanding movies and their structural patterns is a crucial task to ...
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08/09/2021
Learning to Cut by Watching Movies
Video content creation keeps growing at an incredible pace; yet, creatin...
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07/29/2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling
Deep learning models are prone to being fooled by imperceptible perturba...
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03/26/2021
Combating Adversaries with Anti-Adversaries
Deep neural networks are vulnerable to small input perturbations known a...
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01/11/2021
MAAS: Multi-modal Assignation for Active Speaker Detection
Active speaker detection requires a solid integration of multi-modal cue...
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12/29/2020
SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation
We introduce the idea of using learnable neighbor-to-grid soft assignmen...
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11/30/2020
Video Self-Stitching Graph Network for Temporal Action Localization
Temporal action localization (TAL) in videos is a challenging task, espe...
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06/13/2020
ClustTR: Clustering Training for Robustness
This paper studies how encouraging semantically-aligned features during ...
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12/11/2019
Robust Gabor Networks
This work takes a step towards investigating the benefits of merging cla...
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11/26/2019
G-TAD: Sub-Graph Localization for Temporal Action Detection
Temporal action detection is a fundamental yet challenging task in video...
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10/15/2019
DeepGCNs: Making GCNs Go as Deep as CNNs
Convolutional Neural Networks (CNNs) have been very successful at solvin...
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04/10/2019
BAOD: Budget-Aware Object Detection
We study the problem of object detection from a novel perspective in whi...
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04/07/2019
Can GCNs Go as Deep as CNNs?
Convolutional Neural Networks (CNNs) achieve impressive results in a wid...
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03/30/2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
We present a self-supervised task on point clouds, in order to learn mea...
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03/30/2019
