b'Xiatian Zhu'

research

∙ 09/13/2023

Leveraging Foundation models for Unsupervised Audio-Visual Segmentation

Audio-Visual Segmentation (AVS) aims to precisely outline audible object...

0 Swapnil Bhosale, et al. ∙

research

∙ 08/14/2023

DiffSED: Sound Event Detection with Denoising Diffusion

Sound Event Detection (SED) aims to predict the temporal boundaries of a...

0 Swapnil Bhosale, et al. ∙

research

∙ 07/20/2023

MSQNet: Actor-agnostic Action Recognition with Multi-modal Query

Existing action recognition methods are typically actor-specific due to ...

0 Anindya Mondal, et al. ∙

research

∙ 06/15/2023

Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models

Video Question Answering (VideoQA) has been significantly advanced from ...

0 Junting Pan, et al. ∙

research

∙ 06/05/2023

HeadSculpt: Crafting 3D Head Avatars with Text

Recently, text-guided 3D generative methods have made remarkable advance...

0 Xiao Han, et al. ∙

research

∙ 03/27/2023

DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion

We propose a new formulation of temporal action detection (TAD) with den...

0 Sauradip Nag, et al. ∙

research

∙ 03/20/2023

Generative Semantic Segmentation

We present Generative Semantic Segmentation (GSS), a generative learning...

0 Jiaqi Chen, et al. ∙

research

∙ 03/17/2023

PersonalTailor: Personalizing 2D Pattern Design from 3D Garment Point Clouds

Garment pattern design aims to convert a 3D garment to the corresponding...

0 Anran Qi, et al. ∙

research

∙ 03/04/2023

FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks

In the fashion domain, there exists a variety of vision-and-language (V+...

0 Xiao Han, et al. ∙

research

∙ 02/15/2023

Unsupervised Hashing via Similarity Distribution Calibration

Existing unsupervised hashing methods typically adopt a feature similari...

0 Kam Woh Ng, et al. ∙

research

∙ 02/13/2023

Preconditioned Score-based Generative Models

Score-based generative models (SGMs) have recently emerged as a promisin...

0 Li Zhang, et al. ∙

research

∙ 11/27/2022

Post-Processing Temporal Action Detection

Existing Temporal Action Detection (TAD) methods typically take a pre-pr...

0 Sauradip Nag, et al. ∙

research

∙ 11/27/2022

Multi-Modal Few-Shot Temporal Action Detection

Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...

0 Sauradip Nag, et al. ∙

research

∙ 10/09/2022

Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders

Masked autoencoders (MAEs) have emerged recently as art self-supervised ...

23 Haosen Yang, et al. ∙

research

∙ 08/24/2022

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

State-of-the-art deep learning models are often trained with a large amo...

9 Yanbei Chen, et al. ∙

research

∙ 08/23/2022

DeepInteraction: 3D Object Detection via Modality Interaction

Existing top-performance 3D object detectors typically rely on the multi...

5 Zeyu Yang, et al. ∙

research

∙ 07/19/2022

Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective

Visual representation learning is the key of solving various vision prob...

10 Li Zhang, et al. ∙

research

∙ 07/17/2022

Zero-Shot Temporal Action Detection via Vision-Language Prompting

Existing temporal action detection (TAD) methods rely on large training ...

30 Sauradip Nag, et al. ∙

research

∙ 07/17/2022

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

Large-scale Vision-and-Language (V+L) pre-training for representation le...

10 Xiao Han, et al. ∙

research

∙ 07/14/2022

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

Existing temporal action detection (TAD) methods rely on a large number ...

4 Sauradip Nag, et al. ∙

research

∙ 07/14/2022

Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning

Existing temporal action detection (TAD) methods rely on generating an o...

11 Sauradip Nag, et al. ∙

research

∙ 07/05/2022

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

Score-based generative models (SGMs) have recently emerged as a promisin...

1 Hengyuan Ma, et al. ∙

research

∙ 07/05/2022

Softmax-free Linear Transformers

Vision transformers (ViTs) have pushed the state-of-the-art for various ...

27 Jiachen Lu, et al. ∙

research

∙ 06/30/2022

PolarFormer: Multi-camera 3D Object Detection with Polar Transformers

3D object detection in autonomous driving aims to reason "what" and "whe...

5 Yanqin Jiang, et al. ∙

research

∙ 06/27/2022

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition

Capitalizing on large pre-trained models for various downstream tasks of...

7 Junting Pan, et al. ∙

research

∙ 06/13/2022

Multimodal Learning with Transformers: A Survey

Transformer is a promising neural network learner, and has achieved grea...

21 Peng Xu, et al. ∙

research

∙ 06/08/2022

Learning Ego 3D Representation as Ray Tracing

A self-driving perception model aims to extract 3D semantic representati...

17 Jiachen Lu, et al. ∙

research

∙ 06/08/2022

Accelerating Score-based Generative Models for High-Resolution Image Synthesis

Score-based generative models (SGMs) have recently emerged as a promisin...

18 Hengyuan Ma, et al. ∙

research

∙ 05/13/2022

Knowledge Distillation Meets Open-Set Semi-Supervised Learning

Existing knowledge distillation methods mostly focus on distillation of ...

13 Jing Yang, et al. ∙

research

∙ 05/06/2022

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Self-attention based models such as vision transformers (ViTs) have emer...

18 Junting Pan, et al. ∙

research

∙ 05/02/2022

Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding

Semantic understanding of 3D point cloud relies on learning models with ...

5 Xian Shi, et al. ∙

research

∙ 04/10/2022

SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition

Learning an egocentric action recognition model from video data is chall...

14 Victor Escorcia, et al. ∙

research

∙ 03/12/2022

End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective

Website fingerprinting attack (WFA) aims to deanonymize the website a us...

0 Mantun Chen, et al. ∙

research

∙ 02/07/2022

Unsupervised Long-Term Person Re-Identification with Clothes Change

We investigate unsupervised person re-identification (Re-ID) with clothe...

7 Mingkun Li, et al. ∙

research

∙ 10/22/2021

SOFT: Softmax-free Transformer with Linear Complexity

Vision transformers (ViTs) have pushed the state-of-the-art for various ...

13 Jiachen Lu, et al. ∙

research

∙ 10/20/2021

Few-Shot Temporal Action Localization with Query Adaptive Transformer

Existing temporal action localization (TAL) works rely on a large number...

2 Sauradip Nag, et al. ∙

research

∙ 08/06/2021

Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer

A few-shot semantic segmentation model is typically composed of a CNN en...

5 Zhihe Lu, et al. ∙

research

∙ 07/28/2021

Global Aggregation then Local Distribution for Scene Parsing

Modelling long-range contextual relationships is critical for pixel-wise...

6 Xiangtai Li, et al. ∙

research

∙ 05/31/2021

Long-term Person Re-identification: A Benchmark

Existing person re-identification (Re-ID) works mostly consider a short-...

3 Peng Xu, et al. ∙

research

∙ 03/28/2021

Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization

Temporal action localization (TAL) is a fundamental yet challenging task...

7 Mengmeng Xu, et al. ∙

research

∙ 01/25/2021

Few-Shot Website Fingerprinting Attack

This work introduces a novel data augmentation method for few-shot websi...

0 Mantun Chen, et al. ∙

research

∙ 01/20/2021

Few-shot Action Recognition with Prototype-centered Attentive Learning

Few-shot action recognition aims to recognize action classes with few tr...

5 Xiatian Zhu, et al. ∙

research

∙ 01/16/2021

Unsupervised Noisy Tracklet Person Re-identification

Existing person re-identification (re-id) methods mostly rely on supervi...

4 Minxian Li, et al. ∙

research

∙ 12/31/2020

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Most recent semantic segmentation methods adopt a fully-convolutional ne...

29 Sixiao Zheng, et al. ∙

research

∙ 12/08/2020

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering

Unsupervised domain adaptation (UDA) is to learn classification models t...

12 Hui Tang, et al. ∙

research

∙ 11/21/2020

Boundary-sensitive Pre-training for Temporal Localization in Videos

Many video analysis tasks require temporal localization thus detection o...

1 Mengmeng Xu, et al. ∙

research

∙ 07/03/2020

Egocentric Action Recognition by Video Attention and Temporal Context

We present the submission of Samsung AI Centre Cambridge to the CVPR2020...

2 Juan-Manuel Pérez-Rúa, et al. ∙

research

∙ 04/02/2020

Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention

Attentive video modeling is essential for action recognition in unconstr...

14 Juan-Manuel Pérez-Rúa, et al. ∙

research

∙ 03/13/2020

Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation

In this paper, we focus on the coordinate representation in human pose e...

4 Hanbin Dai, et al. ∙

research

∙ 03/10/2020

Incremental Few-Shot Object Detection

Most existing object detection methods rely on the availability of abund...

17 Juan-Manuel Pérez-Rúa, et al. ∙

Xiatian Zhu

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