b'Ting Yao'

research

∙ 09/18/2023

Selective Volume Mixup for Video Action Recognition

The recent advances in Convolutional Neural Networks (CNNs) and Vision T...

0 Yi Tan, et al. ∙

research

∙ 07/20/2023

Learning and Evaluating Human Preferences for Conversational Head Generation

A reliable and comprehensive evaluation metric that aligns with manual p...

0 Mohan Zhou, et al. ∙

research

∙ 07/05/2023

Interactive Conversational Head Generation

We introduce a new conversation head generation benchmark for synthesizi...

0 Mohan Zhou, et al. ∙

research

∙ 06/29/2023

Deep Equilibrium Multimodal Fusion

Multimodal fusion integrates the complementary information present in mu...

0 Jinhong Ni, et al. ∙

research

∙ 06/21/2023

Visual-Aware Text-to-Speech

Dynamically synthesizing talking speech that actively responds to a list...

0 Mohan Zhou, et al. ∙

research

∙ 04/07/2023

T2Ranking: A large-scale Chinese Benchmark for Passage Ranking

Passage ranking involves two stages: passage retrieval and passage re-ra...

0 Xiaohui Xie, et al. ∙

research

∙ 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...

0 Zicheng Zhang, et al. ∙

research

∙ 03/13/2023

Modality-Agnostic Debiasing for Single Domain Generalization

Deep neural networks (DNNs) usually fail to generalize well to outside o...

0 Sanqing Qu, et al. ∙

research

∙ 12/06/2022

Semantic-Conditional Diffusion Networks for Image Captioning

Recent advances on text-to-image generation have witnessed the rise of d...

0 Jianjie Luo, et al. ∙

research

∙ 11/15/2022

Dynamic Temporal Filtering in Video Models

Video temporal dynamics is conventionally modeled with 3D spatial-tempor...

0 Fuchen Long, et al. ∙

research

∙ 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...

0 Zhaofan Qiu, et al. ∙

research

∙ 11/15/2022

Explaining Cross-Domain Recognition with Interpretable Deep Classifier

The recent advances in deep learning predominantly construct models in t...

0 Yiheng Zhang, et al. ∙

research

∙ 11/15/2022

3D Cascade RCNN: High Quality Object Detection in Point Clouds

Recent progress on 2D object detection has featured Cascade RCNN, which ...

0 Qi Cai, et al. ∙

research

∙ 09/26/2022

Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization

Outlier detection tasks have been playing a critical role in AI safety. ...

16 Jingyang Lin, et al. ∙

research

∙ 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...

2 Hailin Shi, et al. ∙

research

∙ 09/08/2022

Generalized One-shot Domain Adaption of Generative Adversarial Networks

The adaption of Generative Adversarial Network (GAN) aims to transfer a ...

0 Zicheng Zhang, et al. ∙

research

∙ 08/24/2022

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

Deep prompt tuning (DPT) has gained great success in most natural langua...

17 Zhengyang Tang, et al. ∙

research

∙ 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 ...

0 Bingning Wang, et al. ∙

research

∙ 07/27/2022

Lightweight and Progressively-Scalable Networks for Semantic Segmentation

Multi-scale learning frameworks have been regarded as a capable class of...

0 Yiheng Zhang, et al. ∙

research

∙ 07/11/2022

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

Multi-scale Vision Transformer (ViT) has emerged as a powerful backbone ...

0 Ting Yao, et al. ∙

research

∙ 07/11/2022

Dual Vision Transformer

Prior works have proposed several strategies to reduce the computational...

0 Ting Yao, et al. ∙

research

∙ 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...

0 Fuchen Long, et al. ∙

research

∙ 06/14/2022

Stand-Alone Inter-Frame Attention in Video Models

Motion, as the uniqueness of a video, has been critical to the developme...

0 Fuchen Long, et al. ∙

research

∙ 06/14/2022

Comprehending and Ordering Semantics for Image Captioning

Comprehending the rich semantics in an image and ordering them in lingui...

0 Yehao Li, et al. ∙

research

∙ 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...

0 Zhaofan Qiu, et al. ∙

research

∙ 06/13/2022

Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection

Recent high-performing Human-Object Interaction (HOI) detection techniqu...

0 Yong Zhang, et al. ∙

research

∙ 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 ...

3 Yingwei Pan, et al. ∙

research

∙ 03/11/2022

Visualizing and Understanding Patch Interactions in Vision Transformer

Vision Transformer (ViT) has become a leading tool in various computer v...

8 Jie Ma, et al. ∙

research

∙ 01/11/2022

Motion-Focused Contrastive Learning of Video Representations

Motion, as the most distinct phenomenon in a video to involve the change...

4 Rui Li, et al. ∙

research

∙ 01/11/2022

Representing Videos as Discriminative Sub-graphs for Action Recognition

Human actions are typically of combinatorial structures or patterns, i.e...

7 Dong Li, et al. ∙

research

∙ 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...

0 Yehao Li, et al. ∙

research

∙ 01/11/2022

Smart Director: An Event-Driven Directing System for Live Broadcasting

Live video broadcasting normally requires a multitude of skills and expe...

6 Yingwei Pan, et al. ∙

research

∙ 01/11/2022

Boosting Video Representation Learning with Multi-Faceted Integration

Video content is multifaceted, consisting of objects, scenes, interactio...

0 Zhaofan Qiu, et al. ∙

research

∙ 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...

3 Zhaofan Qiu, et al. ∙

research

∙ 01/11/2022

Optimization Planning for 3D ConvNets

It is not trivial to optimally learn a 3D Convolutional Neural Networks ...

0 Zhaofan Qiu, et al. ∙

research

∙ 12/15/2021

Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration

Our work reveals a structured shortcoming of the existing mainstream sel...

0 Yu Wang, et al. ∙

research

∙ 12/14/2021

A Style and Semantic Memory Mechanism for Domain Generalization

Mainstream state-of-the-art domain generalization algorithms tend to pri...

0 Yang Chen, et al. ∙

research

∙ 12/14/2021

Transferrable Contrastive Learning for Visual Domain Adaptation

Self-supervised learning (SSL) has recently become the favorite among fe...

0 Yang Chen, et al. ∙

research

∙ 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...

0 Jianjie Luo, et al. ∙

research

∙ 12/14/2021

CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

Localizing text instances in natural scenes is regarded as a fundamental...

0 Jingyang Lin, et al. ∙

research

∙ 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...

0 Yehao Li, et al. ∙

research

∙ 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...

2 Yu Wang, et al. ∙

research

∙ 07/26/2021

Contextual Transformer Networks for Visual Recognition

Transformer with self-attention has led to the revolutionizing of natura...

0 Yehao Li, et al. ∙

research

∙ 01/27/2021

Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network

Despite having impressive vision-language (VL) pretraining with BERT-bas...

0 Yehao Li, et al. ∙

research

∙ 01/16/2021

ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks

With the development of deep learning techniques and large scale dataset...

0 Bingning Wang, et al. ∙

research

∙ 09/30/2020

Joint Contrastive Learning with Infinite Possibilities

This paper explores useful modifications of the recent development in co...

7 Qi Cai, et al. ∙

research

∙ 08/31/2020

Learning to Localize Actions from Moments

With the knowledge of action moments (i.e., trimmed video clips that eac...

0 Fuchen Long, et al. ∙

research

∙ 08/03/2020

SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning

A steady momentum of innovations and breakthroughs has convincingly push...

0 Ting Yao, et al. ∙

research

∙ 07/07/2020

Single Shot Video Object Detector

Single shot detectors that are potentially faster and simpler than two-s...

0 Jiajun Deng, et al. ∙

research

∙ 07/05/2020

Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training

In this work, we present Auto-captions on GIF, which is a new large-scal...

11 Yingwei Pan, et al. ∙

Ting Yao

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