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09/15/2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Pre-trained vision transformers have strong representation benefits to v...
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09/11/2023
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
Current research on cross-modal retrieval is mostly English-oriented, as...
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09/10/2023
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch
Unsupervised contrastive learning methods have recently seen significant...
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09/07/2023
Region Generation and Assessment Network for Occluded Person Re-Identification
Person Re-identification (ReID) plays a more and more crucial role in re...
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08/21/2023
Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive person re-identification (Re-ID) methods al...
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08/12/2023
Revisiting Vision Transformer from the View of Path Ensemble
Vision Transformers (ViTs) are normally regarded as a stack of transform...
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03/19/2023
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft
One of the essential missions in the AI research community is to build a...
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03/14/2023
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
Parameter-Efficient Transfer Learning (PETL) aims at efficiently adaptin...
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02/16/2023
Model-Based Decentralized Policy Optimization
Decentralized policy optimization has been commonly used in cooperative ...
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01/13/2023
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends
Deep supervised learning algorithms generally require large numbers of l...
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11/28/2022
Good helper is around you: Attention-driven Masked Image Modeling
It has been witnessed that masked image modeling (MIM) has shown a huge ...
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11/15/2022
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation
Current scene depth estimation approaches mainly rely on optical sensing...
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09/07/2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Recent masked image modeling (MIM) has received much attention in self-s...
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07/12/2022
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
We study the backward compatible problem for person re-identification (R...
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06/06/2021
Optimal error estimation of a time-spectral method for fractional diffusion problems with low regularity data
This paper is devoted to the error analysis of a time-spectral algorithm...
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05/20/2021
An Empirical Study of Vehicle Re-Identification on the AI City Challenge
This paper introduces our solution for the Track2 in AI City Challenge 2...
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05/14/2021
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
Multi-Target Multi-Camera Tracking has a wide range of applications and ...
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02/08/2021
TransReID: Transformer-based Object Re-Identification
In this paper, we explore the Vision Transformer (ViT), a pure transform...
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12/25/2020
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification
This paper presents our proposed methods for domain adaptive pedestrian ...
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08/21/2020
Counterfactual-based minority oversampling for imbalanced classification
A key challenge of oversampling in imbalanced classification is that the...
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08/14/2020
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor
Lane marker extraction is a basic yet necessary task for autonomous driv...
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04/22/2020
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
This paper introduces our solution for the Track2 in AI City Challenge 2...
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02/29/2020
Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification
Due to its potential wide applications in video surveillance and other c...
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01/22/2020
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
An effective approach for voice conversion (VC) is to disentangle lingui...
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10/12/2019
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification
Vehicle re-identification (Re-ID) has been attracting increasing interes...
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07/11/2019
Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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06/19/2019
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
This study explores a simple but strong baseline for person re-identific...
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03/17/2019
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification
Partial person re-identification (ReID) is a challenging task because on...
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03/17/2019
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
This paper explores a simple and efficient baseline for person re-identi...
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03/17/2019
Bags of Tricks and A Strong Baseline for Deep Person Re-identification
This paper explores a simple and efficient baseline for person re-identi...
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01/24/2019
A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation
Statistical body shape models are widely used in 3D pose estimation due ...
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11/13/2018
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
State-of-the-art object detectors and trackers are developing fast. Trac...
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10/16/2018
SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification
Holistic person re-identification (ReID) has received extensive study in...
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07/02/2018
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Many current successful Person Re-Identification(ReID) methods train a m...
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11/22/2017
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
In this paper, we propose a novel method called AlignedReID that extract...
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10/02/2017