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09/13/2023
Leveraging Foundation models for Unsupervised Audio-Visual Segmentation
Audio-Visual Segmentation (AVS) aims to precisely outline audible object...
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08/14/2023
DiffSED: Sound Event Detection with Denoising Diffusion
Sound Event Detection (SED) aims to predict the temporal boundaries of a...
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07/20/2023
MSQNet: Actor-agnostic Action Recognition with Multi-modal Query
Existing action recognition methods are typically actor-specific due to ...
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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 ...
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06/05/2023
HeadSculpt: Crafting 3D Head Avatars with Text
Recently, text-guided 3D generative methods have made remarkable advance...
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03/27/2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
We propose a new formulation of temporal action detection (TAD) with den...
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03/20/2023
Generative Semantic Segmentation
We present Generative Semantic Segmentation (GSS), a generative learning...
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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...
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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+...
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02/15/2023
Unsupervised Hashing via Similarity Distribution Calibration
Existing unsupervised hashing methods typically adopt a feature similari...
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02/13/2023
Preconditioned Score-based Generative Models
Score-based generative models (SGMs) have recently emerged as a promisin...
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11/27/2022
Post-Processing Temporal Action Detection
Existing Temporal Action Detection (TAD) methods typically take a pre-pr...
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11/27/2022
Multi-Modal Few-Shot Temporal Action Detection
Few-shot (FS) and zero-shot (ZS) learning are two different approaches f...
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10/09/2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Masked autoencoders (MAEs) have emerged recently as art self-supervised ...
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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...
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08/23/2022
DeepInteraction: 3D Object Detection via Modality Interaction
Existing top-performance 3D object detectors typically rely on the multi...
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07/19/2022
Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective
Visual representation learning is the key of solving various vision prob...
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07/17/2022
Zero-Shot Temporal Action Detection via Vision-Language Prompting
Existing temporal action detection (TAD) methods rely on large training ...
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07/17/2022
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Large-scale Vision-and-Language (V+L) pre-training for representation le...
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07/14/2022
Semi-Supervised Temporal Action Detection with Proposal-Free Masking
Existing temporal action detection (TAD) methods rely on a large number ...
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07/14/2022
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
Existing temporal action detection (TAD) methods rely on generating an o...
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07/05/2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Score-based generative models (SGMs) have recently emerged as a promisin...
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07/05/2022
Softmax-free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for various ...
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06/30/2022
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
3D object detection in autonomous driving aims to reason "what" and "whe...
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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...
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06/13/2022
Multimodal Learning with Transformers: A Survey
Transformer is a promising neural network learner, and has achieved grea...
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06/08/2022
Learning Ego 3D Representation as Ray Tracing
A self-driving perception model aims to extract 3D semantic representati...
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06/08/2022
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Score-based generative models (SGMs) have recently emerged as a promisin...
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05/13/2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Existing knowledge distillation methods mostly focus on distillation of ...
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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...
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05/02/2022
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
Semantic understanding of 3D point cloud relies on learning models with ...
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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...
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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...
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02/07/2022
Unsupervised Long-Term Person Re-Identification with Clothes Change
We investigate unsupervised person re-identification (Re-ID) with clothe...
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10/22/2021
SOFT: Softmax-free Transformer with Linear Complexity
Vision transformers (ViTs) have pushed the state-of-the-art for various ...
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10/20/2021
Few-Shot Temporal Action Localization with Query Adaptive Transformer
Existing temporal action localization (TAL) works rely on a large number...
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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...
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07/28/2021
Global Aggregation then Local Distribution for Scene Parsing
Modelling long-range contextual relationships is critical for pixel-wise...
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05/31/2021
Long-term Person Re-identification: A Benchmark
Existing person re-identification (Re-ID) works mostly consider a short-...
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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...
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01/25/2021
Few-Shot Website Fingerprinting Attack
This work introduces a novel data augmentation method for few-shot websi...
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01/20/2021
Few-shot Action Recognition with Prototype-centered Attentive Learning
Few-shot action recognition aims to recognize action classes with few tr...
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01/16/2021
Unsupervised Noisy Tracklet Person Re-identification
Existing person re-identification (re-id) methods mostly rely on supervi...
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12/31/2020
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Most recent semantic segmentation methods adopt a fully-convolutional ne...
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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...
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11/21/2020
Boundary-sensitive Pre-training for Temporal Localization in Videos
Many video analysis tasks require temporal localization thus detection o...
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07/03/2020
Egocentric Action Recognition by Video Attention and Temporal Context
We present the submission of Samsung AI Centre Cambridge to the CVPR2020...
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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...
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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...
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03/10/2020
