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09/18/2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In this study, we address the challenge of 3D scene structure recovery f...
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09/15/2023
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Cross-domain pedestrian detection aims to generalize pedestrian detector...
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09/11/2023
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Domain shifts such as sensor type changes and geographical situation var...
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09/10/2023
Multimodal Fish Feeding Intensity Assessment in Aquaculture
Fish feeding intensity assessment (FFIA) aims to evaluate the intensity ...
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09/06/2023
Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
3D dense captioning requires a model to translate its understanding of a...
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09/06/2023
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Accurate segmentation of clustered microcalcifications in mammography is...
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08/26/2023
Boosting Residual Networks with Group Knowledge
Recent research understands the residual networks from a new perspective...
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08/22/2023
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce
Given the long textual product information and the product image, Multi-...
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08/11/2023
Experts Weights Averaging: A New General Training Scheme for Vision Transformers
Structural re-parameterization is a general training scheme for Convolut...
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07/24/2023
Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
Reinforcement learning is time-consuming for complex tasks due to the ne...
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07/21/2023
Attention Consistency Refined Masked Frequency Forgery Representation for Generalizing Face Forgery Detection
Due to the successful development of deep image generation technology, v...
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07/20/2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
Exploration and reward specification are fundamental and intertwined cha...
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07/16/2023
Holistic Prototype Attention Network for Few-Shot VOS
Few-shot video object segmentation (FSVOS) aims to segment dynamic objec...
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06/26/2023
MotionGPT: Human Motion as a Foreign Language
Though the advancement of pre-trained large language models unfolds, the...
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06/15/2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Reinforcement learning (RL) has shown promise in creating robust policie...
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06/11/2023
Predicting Software Performance with Divide-and-Learn
Predicting the performance of highly configurable software systems is th...
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06/01/2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
It is a long-term vision for Autonomous Driving (AD) community that the ...
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05/30/2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
The recent advancements in image-text diffusion models have stimulated r...
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05/18/2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Adversarial attack is commonly regarded as a huge threat to neural netwo...
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05/18/2023
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
The transformer extends its success from the language to the vision doma...
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05/09/2023
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) models relying on class a...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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04/23/2023
Semi-Supervised Semantic Segmentation With Region Relevance
Semi-supervised semantic segmentation aims to learn from a small amount ...
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04/20/2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Point cloud based 3D deep model has wide applications in many applicatio...
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04/10/2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation
Medical image segmentation is a challenging task with inherent ambiguity...
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03/31/2023
A Closer Look at Few-Shot 3D Point Cloud Classification
In recent years, research on few-shot learning (FSL) has been fast-growi...
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03/31/2023
What Makes for Effective Few-shot Point Cloud Classification?
Due to the emergence of powerful computing resources and large-scale ann...
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03/27/2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
In this work, we aim to learn dexterous manipulation of deformable objec...
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03/23/2023
TactoFind: A Tactile Only System for Object Retrieval
We study the problem of object retrieval in scenarios where visual sensi...
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03/21/2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Global channel pruning (GCP) aims to remove a subset of channels (filter...
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03/13/2023
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Current 3D object detection models follow a single dataset-specific trai...
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03/10/2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D c...
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03/09/2023
Tucker Bilinear Attention Network for Multi-scale Remote Sensing Object Detection
Object detection on VHR remote sensing images plays a vital role in appl...
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02/14/2023
ConceptFusion: Open-set Multimodal 3D Mapping
Building 3D maps of the environment is central to robot navigation, plan...
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01/19/2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Few-shot semantic segmentation is the task of learning to locate each pi...
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01/17/2023
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
Neural Radiance Fields (NeRF) has achieved impressive results in single ...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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01/09/2023
Do Performance Aspirations Matter for Guiding Software Configuration Tuning?
Configurable software systems can be tuned for better performance. Lever...
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01/06/2023
End-to-End 3D Dense Captioning with Vote2Cap-DETR
3D dense captioning aims to generate multiple captions localized with th...
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12/21/2022
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
Medical Visual Question Answering (Medical-VQA) aims to to answer clinic...
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12/20/2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
State-of-the-art 3D semantic segmentation models are trained on the off-...
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12/08/2022
Towards Accurate Ground Plane Normal Estimation from Ego-Motion
In this paper, we introduce a novel approach for ground plane normal est...
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12/08/2022
Executing your Commands via Motion Diffusion in Latent Space
We study a challenging task, conditional human motion generation, which ...
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11/15/2022
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
The linear ensemble based strategy, i.e., averaging ensemble, has been p...
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11/05/2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles
There are still many challenges of emotion recognition using physiologic...
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10/20/2022
Coordinates Are NOT Lonely – Codebook Prior Helps Implicit Neural 3D Representations
Implicit neural 3D representation has achieved impressive results in sur...
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10/11/2022
Retrieval Augmentation for T5 Re-ranker using External Sources
Retrieval augmentation has shown promising improvements in different tas...
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10/09/2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Residual networks have shown great success and become indispensable in t...
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10/06/2022
Distilling Task-specific Logical Rules from Large Pre-trained Models
Logical rules, both transferable and explainable, are widely used as wea...
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10/04/2022