research
∙
09/14/2023
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
Recently, large-scale pre-trained language-image models like CLIP have s...
share
research
∙
08/24/2023
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging res...
research
∙
07/31/2023
Towards General Low-Light Raw Noise Synthesis and Modeling
Modeling and synthesizing low-light raw noise is a fundamental problem f...
research
∙
05/15/2023
PLIP: Language-Image Pre-training for Person Representation Learning
Pre-training has emerged as an effective technique for learning powerful...
research
∙
04/03/2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Current state-of-the-art approaches for few-shot action recognition achi...
research
∙
03/06/2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like C...
research
∙
01/12/2023
Semantic Segmentation via Pixel-to-Center Similarity Calculation
Since the fully convolutional network has achieved great success in sema...
research
∙
01/09/2023
Parallel Reasoning Network for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to learn how human interac...
research
∙
11/02/2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Recent incremental learning for action recognition usually stores repres...
research
∙
07/24/2022
MAR: Masked Autoencoders for Efficient Action Recognition
Standard approaches for video recognition usually operate on the full in...
research
∙
06/18/2022
Context-aware Proposal Network for Temporal Action Detection
This technical report presents our first place winning solution for temp...
research
∙
03/12/2022
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting
Currently, for crowd counting, the fully supervised methods via density ...
research
∙
12/22/2021
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Recently, many approaches tackle the Unsupervised Domain Adaptive person...
research
∙
12/15/2021
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval
This paper tackles the Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) ...
research
∙
12/05/2021
Implicit Neural Deformation for Multi-View Face Reconstruction
In this work, we present a new method for 3D face reconstruction from mu...
research
∙
12/03/2021
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Deep learning-based methods for low-light image enhancement typically re...
research
∙
09/21/2021
CondNet: Conditional Classifier for Scene Segmentation
The fully convolutional network (FCN) has achieved tremendous success in...
research
∙
09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
research
∙
08/24/2021
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
The central idea of contrastive learning is to discriminate between diff...
research
∙
06/24/2021
Exploring Stronger Feature for Temporal Action Localization
Temporal action localization aims to localize starting and ending time w...
research
∙
06/21/2021
OadTR: Online Action Detection with Transformers
Most recent approaches for online action detection tend to apply Recurre...
research
∙
06/20/2021
Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling
Weakly-Supervised Temporal Action Localization (WS-TAL) task aims to rec...
research
∙
06/20/2021
Proposal Relation Network for Temporal Action Detection
This technical report presents our solution for temporal action detectio...
research
∙
06/13/2021
A Stronger Baseline for Ego-Centric Action Detection
This technical report analyzes an egocentric video action detection meth...
research
∙
06/09/2021
Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition
With the recent surge in the research of vision transformers, they have ...
research
∙
06/04/2021
Hybrid attention network based on progressive embedding scale-context for crowd counting
The existing crowd counting methods usually adopted attention mechanism ...
research
∙
04/13/2021
Lite-HRNet: A Lightweight High-Resolution Network
We present an efficient high-resolution network, Lite-HRNet, for human p...
research
∙
04/07/2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
Self-supervised learning presents a remarkable performance to utilize un...
research
∙
03/24/2021
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Temporal action proposal generation aims to estimate temporal intervals ...
research
∙
02/22/2021
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
The goal of person search is to localize and match query persons from sc...
research
∙
12/17/2020
Exploiting Learnable Joint Groups for Hand Pose Estimation
In this paper, we propose to estimate 3D hand pose by recovering the 3D ...
research
∙
08/16/2020
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
In the conventional person Re-ID setting, it is widely assumed that crop...
research
∙
08/12/2020
Representative Graph Neural Network
Non-local operation is widely explored to model the long-range dependenc...
research
∙
08/07/2020
Multi-Level Temporal Pyramid Network for Action Detection
Currently, one-stage frameworks have been widely applied for temporal ac...
research
∙
08/03/2020
Adversarial Semantic Data Augmentation for Human Pose Estimation
Human pose estimation is the task of localizing body keypoints from stil...
research
∙
06/13/2020
CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)
In this report, we present our solution for the task of temporal action ...
research
∙
06/13/2020
Temporal Fusion Network for Temporal Action Localization:Submission to ActivityNet Challenge 2020 (Task E)
This technical report analyzes a temporal action localization method we ...
research
∙
05/20/2020
Relevant Region Prediction for Crowd Counting
Crowd counting is a concerned and challenging task in computer vision. E...
research
∙
05/10/2020
Domain Adaptation for Image Dehazing
Image dehazing using learning-based methods has achieved state-of-the-ar...
research
∙
04/05/2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
The low-level details and high-level semantics are both essential to the...
research
∙
04/03/2020
Context Prior for Scene Segmentation
Recent works have widely explored the contextual dependencies to achieve...
research
∙
01/19/2020
GTNet: Generative Transfer Network for Zero-Shot Object Detection
We propose a Generative Transfer Network (GTNet) for zero shot object de...
research
∙
09/18/2019
Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
research
∙
08/02/2018
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Semantic segmentation requires both rich spatial information and sizeabl...
research
∙
04/25/2018
Learning a Discriminative Feature Network for Semantic Segmentation
Most existing methods of semantic segmentation still suffer from two asp...
research
∙
03/09/2018
Learning a Discriminative Prior for Blind Image Deblurring
We present an effective blind image deblurring method based on a data-dr...
research
∙
02/09/2018
Multiple Target Tracking by Learning Feature Representation and Distance Metric Jointly
Designing a robust affinity model is the key issue in multiple target tr...
research
∙
11/12/2016
Online Generative-Discriminative Model for Object Detection in Video: An Unsupervised Learning Framework
Traditional single-view object detection methods often perform worse und...
research
∙
06/29/2016