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09/09/2023
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions
Multiple object tracking (MOT) tends to become more challenging when sev...
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09/03/2023
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
Scene text recognition has been studied for decades due to its broad app...
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09/03/2023
Orientation-Independent Chinese Text Recognition in Scene Images
Scene text recognition (STR) has attracted much attention due to its bro...
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08/30/2023
WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
Enabling robots to understand language instructions and react accordingl...
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08/21/2023
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
Person Re-IDentification (Re-ID) as a retrieval task, has achieved treme...
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08/21/2023
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challe...
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07/21/2023
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
Liquid perception is critical for robotic pouring tasks. It usually requ...
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07/15/2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
The abstract visual reasoning ability in human intelligence benefits dis...
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06/19/2023
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection
Monocular 3D object detection aims to locate objects in different scenes...
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06/16/2023
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
Humans possess the cognitive ability to comprehend scenes in a compositi...
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06/14/2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Diffusion models (DMs) have recently gained attention with state-of-the-...
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05/09/2023
Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning
In Chinese text recognition, to compensate for the insufficient local da...
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05/06/2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model
Federated learning is a privacy-preserving collaborative learning approa...
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04/28/2023
Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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04/24/2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Most existing point cloud upsampling methods have roughly three steps: f...
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03/29/2023
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
Along with the rapid evolution of mobile communication technologies, suc...
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03/28/2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection
With the rapid development of mobile networks, the people's social conta...
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03/26/2023
Semantic Neural Decoding via Cross-Modal Generation
Semantic neural decoding aims to elucidate the cognitive processes of th...
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03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
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03/11/2023
Rethinking the Multi-view Stereo from the Perspective of Rendering-based Augmentation
GigaMVS presents several challenges to existing Multi-View Stereo (MVS) ...
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02/25/2023
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Automatic underground parking has attracted considerable attention as th...
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01/06/2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
The task of Few-shot Learning (FSL) aims to do the inference on novel ca...
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01/03/2023
Vocabulary-informed Zero-shot and Open-set Learning
Despite significant progress in object categorization, in recent years, ...
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11/24/2022
Chinese Character Recognition with Radical-Structured Stroke Trees
The flourishing blossom of deep learning has witnessed the rapid develop...
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11/21/2022
Compositional Scene Modeling with Global Object-Centric Representations
The appearance of the same object may vary in different scene images due...
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11/15/2022
Cross-domain Federated Adaptive Prompt Tuning for CLIP
Federated learning (FL) allows multiple parties to collaboratively train...
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10/04/2022
Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning
Knowledge distillation has recently become popular as a method of model ...
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09/20/2022
Dynamic Graph Message Passing Networks for Visual Recognition
Modelling long-range dependencies is critical for scene understanding ta...
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09/15/2022
Compositional Law Parsing with Latent Random Functions
Human cognition has compositionality. We understand a scene by decomposi...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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08/18/2022
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling
Recent progress in 4D implicit representation focuses on globally contro...
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08/12/2022
Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis
Universal style transfer (UST) infuses styles from arbitrary reference i...
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07/19/2022
RCLane: Relay Chain Prediction for Lane Detection
Lane detection is an important component of many real-world autonomous s...
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06/30/2022
Cross-domain Federated Object Detection
Detection models trained by one party (server) may face severe performan...
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06/17/2022
Local Slot Attention for Vision-and-Language Navigation
Vision-and-language navigation (VLN), a frontier study aiming to pave th...
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05/09/2022
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions
This paper studies the task of any objects grasping from the known categ...
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05/09/2022
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches
In this paper, we are interested in the problem of generating target gra...
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04/27/2022
Density-preserving Deep Point Cloud Compression
Local density of point clouds is crucial for representing local details,...
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04/26/2022
One-shot Federated Learning without Server-side Training
Federated Learning (FL) has recently made significant progress as a new ...
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04/21/2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
We study the problem of shape generation in 3D mesh representation from ...
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04/03/2022
DST: Dynamic Substitute Training for Data-free Black-box Attack
With the wide applications of deep neural network models in various comp...
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03/31/2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
Conventional 3D object detection approaches concentrate on bounding boxe...
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03/24/2022
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Multiple datasets and open challenges for object detection have been int...
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03/22/2022
QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation
This paper studies the task of conditional Human Motion Animation (cHMA)...
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03/02/2022
H4D: Human 4D Modeling by Learning Neural Compositional Representation
Despite the impressive results achieved by deep learning based 3D recons...
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02/15/2022
Compositional Scene Representation Learning via Reconstruction: A Survey
Visual scene representation learning is an important research problem in...
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12/30/2021
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
The flourishing blossom of deep learning has witnessed the rapid develop...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/13/2021
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
In the last decade, the blossom of deep learning has witnessed the rapid...
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12/07/2021