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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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07/20/2023
Learning and Evaluating Human Preferences for Conversational Head Generation
A reliable and comprehensive evaluation metric that aligns with manual p...
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07/05/2023
Interactive Conversational Head Generation
We introduce a new conversation head generation benchmark for synthesizi...
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06/29/2023
Deep Equilibrium Multimodal Fusion
Multimodal fusion integrates the complementary information present in mu...
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06/21/2023
Visual-Aware Text-to-Speech
Dynamically synthesizing talking speech that actively responds to a list...
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04/07/2023
T2Ranking: A large-scale Chinese Benchmark for Passage Ranking
Passage ranking involves two stages: passage retrieval and passage re-ra...
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03/23/2023
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
Recent advances in 3D scene representation and novel view synthesis have...
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03/13/2023
Modality-Agnostic Debiasing for Single Domain Generalization
Deep neural networks (DNNs) usually fail to generalize well to outside o...
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12/06/2022
Semantic-Conditional Diffusion Networks for Image Captioning
Recent advances on text-to-image generation have witnessed the rise of d...
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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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11/15/2022
3D Cascade RCNN: High Quality Object Detection in Point Clouds
Recent progress on 2D object detection has featured Cascade RCNN, which ...
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09/26/2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Outlier detection tasks have been playing a critical role in AI safety. ...
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09/19/2022
Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation
Human face images usually appear with wide range of visual scales. The e...
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09/08/2022
Generalized One-shot Domain Adaption of Generative Adversarial Networks
The adaption of Generative Adversarial Network (GAN) aims to transfer a ...
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08/24/2022
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Deep prompt tuning (DPT) has gained great success in most natural langua...
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08/05/2022
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
Visual question answering is an important task in both natural language ...
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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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07/11/2022
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
Multi-scale Vision Transformer (ViT) has emerged as a powerful backbone ...
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07/11/2022
Dual Vision Transformer
Prior works have proposed several strategies to reduce the computational...
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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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06/14/2022
Comprehending and Ordering Semantics for Image Captioning
Comprehending the rich semantics in an image and ordering them in lingui...
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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
Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
Recent high-performing Human-Object Interaction (HOI) detection techniqu...
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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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03/11/2022
Visualizing and Understanding Patch Interactions in Vision Transformer
Vision Transformer (ViT) has become a leading tool in various computer v...
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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
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training
Vision-language pre-training has been an emerging and fast-developing re...
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01/11/2022
Smart Director: An Event-Driven Directing System for Live Broadcasting
Live video broadcasting normally requires a multitude of skills and expe...
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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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12/15/2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Our work reveals a structured shortcoming of the existing mainstream sel...
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12/14/2021
A Style and Semantic Memory Mechanism for Domain Generalization
Mainstream state-of-the-art domain generalization algorithms tend to pri...
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12/14/2021
Transferrable Contrastive Learning for Visual Domain Adaptation
Self-supervised learning (SSL) has recently become the favorite among fe...
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12/14/2021
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising
BERT-type structure has led to the revolution of vision-language pre-tra...
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12/14/2021
CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
Localizing text instances in natural scenes is regarded as a fundamental...
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08/18/2021
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
With the rise and development of deep learning over the past decade, the...
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08/05/2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Unsupervised learning is just at a tipping point where it could really t...
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07/26/2021
Contextual Transformer Networks for Visual Recognition
Transformer with self-attention has led to the revolutionizing of natura...
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01/27/2021
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network
Despite having impressive vision-language (VL) pretraining with BERT-bas...
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01/16/2021
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
With the development of deep learning techniques and large scale dataset...
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09/30/2020
Joint Contrastive Learning with Infinite Possibilities
This paper explores useful modifications of the recent development in co...
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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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07/07/2020
Single Shot Video Object Detector
Single shot detectors that are potentially faster and simpler than two-s...
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07/05/2020