Jiang01151144

Jiang01151144's Stars

• RaymondWang987/VDW_Dataset_Toolkits

  The official generation code and toolkits of VDW dataset (ICCV 2023)

  Language:Jupyter Notebook3811

• firework8/Awesome-Skeleton-based-Action-Recognition

  A curated paper list of awesome skeleton-based action recognition.

  39656

• zwq2018/Robot_Navigation_RL

  Two paper About robot navigation in dynamic environment

  46

• xihongyang1999/CONVERT

  [ACM MM 2023] An official source code for paper "CONVERT: Contrastive Graph Clustering with Reliable Augmentation".

  Language:Python47

• xihongyang1999/DealMVC

  [ACM MM 2023] An official source code for paper "DealMVC: Dual Contrastive Calibration for Multi-view Clustering"

  Language:Python581

• xihongyang1999/CCGC

  [AAAI 2023] An official source code for paper Cluster-guided Contrastive Graph Clustering Network.

  Language:Python895

• zyh16143998882/ICCV23-IDPT

  The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).

  Language:Python1061

• CGCL-codes/BadHash

  The official implementation of BadHash

  Language:Python562

• CGCL-codes/AdvCLIP

  The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"

  Language:Python782

• YoujiaZhang/SigmaCCS

  (communications chemistry 2023) Highly accurate and large-scale collision cross section prediction with graph neural network for compound identification

  Language:Jupyter Notebook572

• YoujiaZhang/NeMF

  (ICCV 2023) NeMF: Inverse Volume Rendering with Neural Microflake Field

  64

• TrepangCat/3D_Semantic_Subspace_Traverser

  Language:C++621

• wz0919/ScaleVLN

  [ICCV 2023 Oral]: Scaling Data Generation in Vision-and-Language Navigation

  Language:Python1424

• HongYan1123/SkeletonMAE

  SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training

  861

• HCPLab-SYSU/CMCIR

  [IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

  Language:Python711

• Tracesource/FIMVC-VIA

  [IEEE TNNLS 2022] Code of "Fast Incomplete Multi-view Clustering with View-independent Anchors"

  Language:MATLAB674

• Tracesource/EOMSC-CA

  [AAAI 2022] Code of "Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"

  Language:MATLAB744

• PJLab-ADG/LoGoNet

  [CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion

  Language:Python24516

• jinyeying/Awesome-Nighttime-Enhancement

  Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.

  982

• jinyeying/FogRemoval

  [ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

  Language:Python1477

• jinyeying/S-Aware-network

  [AAAI23] Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning, https://arxiv.org/abs/2211.14751

  Language:HTML881

• jinyeying/nighttime_dehaze

  [ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

  Language:Python14310

• jinyeying/night-enhancement

  [ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

  Language:HTML39334

• jinyeying/DC-ShadowNet-Hard-and-Soft-Shadow-Removal

  [ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434

  Language:Python21121

• dcp15/UAL

  The code for ECCV2022 paper: Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval

  572

• dcp15/ISR_ICCV2023_Oral

  The code for ICCV2023 Oral paper: Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification

  Language:Python781

• Kali-Hac/MG-SCR

  [IJCAI-2021] Official Codes for "Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification"

  Language:Python57

• Kali-Hac/SGE-LA

  [IJCAI-2020] Official Codes for "Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification"

  Language:Python675

• Kali-Hac/Locality-Awareness-SGE

  [TPAMI-2021] Official Codes for "A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification"

  Language:Python784

• Kali-Hac/SM-SGE

  [ACMMM-2021] Official Codes for "SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification"

  Language:Python571