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07/13/2023
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
This paper introduces InternVid, a large-scale video-centric multimodal ...
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05/22/2023
VideoLLM: Modeling Video Sequence with Large Language Models
With the exponential growth of video data, there is an urgent need for a...
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05/10/2023
VideoChat: Chat-Centric Video Understanding
In this study, we initiate an exploration into video understanding by in...
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05/09/2023
InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language
We present an interactive visual framework named InternGPT, or iGPT for ...
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03/29/2023
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Scale is the primary factor for building a powerful foundation model tha...
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03/28/2023
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
Video Foundation Models (VFMs) have received limited exploration due to ...
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03/14/2023
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
We present a Non-parametric Network for 3D point cloud analysis, Point-N...
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12/20/2022
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency
Masked Modeling (MM) has demonstrated widespread success in various visi...
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12/06/2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a var...
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11/17/2022
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
Learning discriminative spatiotemporal representation is the key problem...
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11/17/2022
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges
In this report, we present our champion solutions to five tracks at Ego4...
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10/20/2022
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Video understanding is an important problem in computer vision. Currentl...
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09/28/2022
Low-Resolution Action Recognition for Tiny Actions Challenge
Tiny Actions Challenge focuses on understanding human activities in real...
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07/12/2022
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
Point cloud completion aims to predict complete shape from its partial o...
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05/03/2022
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
Cross domain object detection is a realistic and challenging task in the...
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04/17/2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) is a promising way to alleviate ...
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01/24/2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
It is a challenging task to learn discriminative representation from ima...
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01/20/2022
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning
Self-supervised learning has not been fully explored for point cloud ana...
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01/12/2022
Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning
It is a challenging task to learn rich and multi-scale spatiotemporal se...
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12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
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11/24/2021
Self-slimmed Vision Transformer
Vision transformers (ViTs) have become the popular structures and outper...
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11/24/2021
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video
Self-attention has become an integral component of the recent network ar...
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09/15/2021
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
Graph Convolution Network (GCN) has been successfully used for 3D human ...
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08/30/2021
Digging into Uncertainty in Self-supervised Multi-view Stereo
Self-supervised Multi-view stereo (MVS) with a pretext task of image rec...
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08/27/2021
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection
Blood cell detection in microscopic images is an essential branch of med...
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06/03/2021
CT-Net: Channel Tensorization Network for Video Classification
3D convolution is powerful for video classification but often computatio...
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05/24/2021
FineAction: A Fined Video Dataset for Temporal Action Localization
On the existing benchmark datasets, THUMOS14 and ActivityNet, temporal a...
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03/16/2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...
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06/25/2020
SmallBigNet: Integrating Core and Contextual Views for Video Classification
Temporal convolution has been widely used for video classification. Howe...
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04/15/2020
Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders
Given a point in m-dimensional objective space, the local environment of...
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04/14/2020
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling
A customized multi-objective evolutionary algorithm (MOEA) is proposed f...
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03/16/2020
Context-Transformer: Tackling Object Confusion for Few-Shot Detection
Few-shot object detection is a challenging but realistic scenario, where...
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02/24/2020
Learning Attentive Pairwise Interaction for Fine-Grained Classification
Fine-grained classification is a challenging problem, due to subtle diff...
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02/12/2020
Progressive Object Transfer Detection
Recent development of object detection mainly depends on deep learning w...
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02/09/2019
Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning
Unsupervised clustering has broad applications in data stratification, p...
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03/05/2018
LSTD: A Low-Shot Transfer Detector for Object Detection
Recent advances in object detection are mainly driven by deep learning w...
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09/01/2016