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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...
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08/24/2023
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging res...
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08/01/2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Cross-domain few-shot classification (CD-FSC) aims to identify novel tar...
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07/31/2023
Towards General Low-Light Raw Noise Synthesis and Modeling
Modeling and synthesizing low-light raw noise is a fundamental problem f...
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05/15/2023
PLIP: Language-Image Pre-training for Person Representation Learning
Pre-training has emerged as an effective technique for learning powerful...
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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...
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03/06/2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like C...
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01/12/2023
Semantic Segmentation via Pixel-to-Center Similarity Calculation
Since the fully convolutional network has achieved great success in sema...
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01/09/2023
Parallel Reasoning Network for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection aims to learn how human interac...
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08/01/2022
Cross Attention Based Style Distribution for Controllable Person Image Synthesis
Controllable person image synthesis task enables a wide range of applica...
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07/24/2022
MAR: Masked Autoencoders for Efficient Action Recognition
Standard approaches for video recognition usually operate on the full in...
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06/18/2022
Context-aware Proposal Network for Temporal Action Detection
This technical report presents our first place winning solution for temp...
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03/15/2022
Style Transformer for Image Inversion and Editing
Existing GAN inversion methods fail to provide latent codes for reliable...
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12/22/2021
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Recently, many approaches tackle the Unsupervised Domain Adaptive person...
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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) ...
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12/03/2021
Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior
Deep learning-based methods for low-light image enhancement typically re...
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09/21/2021
CondNet: Conditional Classifier for Scene Segmentation
The fully convolutional network (FCN) has achieved tremendous success in...
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09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
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08/24/2021
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
The central idea of contrastive learning is to discriminate between diff...
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06/24/2021
Exploring Stronger Feature for Temporal Action Localization
Temporal action localization aims to localize starting and ending time w...
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06/21/2021
OadTR: Online Action Detection with Transformers
Most recent approaches for online action detection tend to apply Recurre...
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06/20/2021
Proposal Relation Network for Temporal Action Detection
This technical report presents our solution for temporal action detectio...
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06/13/2021
A Stronger Baseline for Ego-Centric Action Detection
This technical report analyzes an egocentric video action detection meth...
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04/13/2021
Lite-HRNet: A Lightweight High-Resolution Network
We present an efficient high-resolution network, Lite-HRNet, for human p...
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04/07/2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
Self-supervised learning presents a remarkable performance to utilize un...
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03/24/2021
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Temporal action proposal generation aims to estimate temporal intervals ...
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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...
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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...
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08/12/2020
Representative Graph Neural Network
Non-local operation is widely explored to model the long-range dependenc...
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08/07/2020
Multi-Level Temporal Pyramid Network for Action Detection
Currently, one-stage frameworks have been widely applied for temporal ac...
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08/03/2020
Adversarial Semantic Data Augmentation for Human Pose Estimation
Human pose estimation is the task of localizing body keypoints from stil...
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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 ...
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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 ...
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05/20/2020
Relevant Region Prediction for Crowd Counting
Crowd counting is a concerned and challenging task in computer vision. E...
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05/10/2020
Domain Adaptation for Image Dehazing
Image dehazing using learning-based methods has achieved state-of-the-ar...
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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...
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04/03/2020
Context Prior for Scene Segmentation
Recent works have widely explored the contextual dependencies to achieve...
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03/31/2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Few-shot instance segmentation (FSIS) conjoins the few-shot learning par...
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01/19/2020
GTNet: Generative Transfer Network for Zero-Shot Object Detection
We propose a Generative Transfer Network (GTNet) for zero shot object de...
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09/18/2019
Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
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08/02/2018
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Semantic segmentation requires both rich spatial information and sizeabl...
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04/25/2018
Learning a Discriminative Feature Network for Semantic Segmentation
Most existing methods of semantic segmentation still suffer from two asp...
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03/09/2018