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09/18/2023
Selective Volume Mixup for Video Action Recognition
The recent advances in Convolutional Neural Networks (CNNs) and Vision T...
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11/15/2022
Dynamic Temporal Filtering in Video Models
Video temporal dynamics is conventionally modeled with 3D spatial-tempor...
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11/15/2022
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement
In this paper, we propose a novel deep architecture tailored for 3D poin...
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11/15/2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
The recent advances in deep learning predominantly construct models in t...
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07/27/2022
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Multi-scale learning frameworks have been regarded as a capable class of...
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06/21/2022
Bi-Calibration Networks for Weakly-Supervised Video Representation Learning
The leverage of large volumes of web videos paired with the searched que...
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06/14/2022
Stand-Alone Inter-Frame Attention in Video Models
Motion, as the uniqueness of a video, has been critical to the developme...
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06/13/2022
MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
Convolutional Neural Networks (CNNs) have been regarded as the go-to mod...
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06/13/2022
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
This paper presents an overview and comparative analysis of our systems ...
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01/11/2022
Motion-Focused Contrastive Learning of Video Representations
Motion, as the most distinct phenomenon in a video to involve the change...
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01/11/2022
Representing Videos as Discriminative Sub-graphs for Action Recognition
Human actions are typically of combinatorial structures or patterns, i.e...
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01/11/2022
Boosting Video Representation Learning with Multi-Faceted Integration
Video content is multifaceted, consisting of objects, scenes, interactio...
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01/11/2022
Condensing a Sequence to One Informative Frame for Video Recognition
Video is complex due to large variations in motion and rich content in f...
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01/11/2022
Optimization Planning for 3D ConvNets
It is not trivial to optimally learn a 3D Convolutional Neural Networks ...
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08/31/2020
Learning to Localize Actions from Moments
With the knowledge of action moments (i.e., trimmed video clips that eac...
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08/03/2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
A steady momentum of innovations and breakthroughs has convincingly push...
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06/11/2020
Transferring and Regularizing Prediction for Semantic Segmentation
Semantic segmentation often requires a large set of images with pixel-le...
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03/31/2020
Long Short-Term Relation Networks for Video Action Detection
It has been well recognized that modeling human-object or object-object ...
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09/23/2019
Scheduled Differentiable Architecture Search for Visual Recognition
Convolutional Neural Networks (CNN) have been regarded as a capable clas...
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09/09/2019
Gaussian Temporal Awareness Networks for Action Localization
Temporally localizing actions in a video is a fundamental challenge in v...
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08/26/2019
Customizable Architecture Search for Semantic Segmentation
In this paper, we propose a Customizable Architecture Search (CAS) appro...
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06/20/2019
vireoJD-MM at Activity Detection in Extended Videos
This notebook paper presents an overview and comparative analysis of our...
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06/14/2019
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
This notebook paper presents an overview and comparative analysis of our...
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06/13/2019
Learning Spatio-Temporal Representation with Local and Global Diffusion
Convolutional Neural Networks (CNN) have been regarded as a powerful cla...
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04/23/2018
Fully Convolutional Adaptation Networks for Semantic Segmentation
The recent advances in deep neural networks have convincingly demonstrat...
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04/23/2018
Deep Semantic Hashing with Generative Adversarial Networks
Hashing has been a widely-adopted technique for nearest neighbor search ...
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04/23/2018
To Create What You Tell: Generating Videos from Captions
We are creating multimedia contents everyday and everywhere. While autom...
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11/28/2017
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Convolutional Neural Networks (CNN) have been regarded as a powerful cla...
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11/29/2016
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
Deep convolutional neural networks (CNNs) have proven highly effective f...
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11/05/2016