b'Tao Chen'

research

∙ 09/18/2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

In this study, we address the challenge of 3D scene structure recovery f...

0 Chi Zhang, et al. ∙

research

∙ 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...

0 Yancheng Cai, et al. ∙

research

∙ 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...

0 Bo Zhang, et al. ∙

research

∙ 09/10/2023

Multimodal Fish Feeding Intensity Assessment in Aquaculture

Fish feeding intensity assessment (FFIA) aims to evaluate the intensity ...

0 Meng Cui, et al. ∙

research

∙ 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...

0 Sijin Chen, et al. ∙

research

∙ 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...

0 Ke Wang, et al. ∙

research

∙ 08/26/2023

Boosting Residual Networks with Group Knowledge

Recent research understands the residual networks from a new perspective...

0 Shengji Tang, et al. ∙

research

∙ 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-...

0 Tao Chen, et al. ∙

research

∙ 08/11/2023

Experts Weights Averaging: A New General Training Scheme for Vision Transformers

Structural re-parameterization is a general training scheme for Convolut...

0 Yongqi Huang, et al. ∙

research

∙ 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...

0 Zechu Li, et al. ∙

research

∙ 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...

0 Decheng Liu, et al. ∙

research

∙ 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...

0 Marcel Torne, et al. ∙

research

∙ 07/16/2023

Holistic Prototype Attention Network for Few-Shot VOS

Few-shot video object segmentation (FSVOS) aims to segment dynamic objec...

0 Yin Tang, et al. ∙

research

∙ 06/26/2023

MotionGPT: Human Motion as a Foreign Language

Though the advancement of pre-trained large language models unfolds, the...

1 Biao Jiang, et al. ∙

research

∙ 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...

0 Zhehui Huang, et al. ∙

research

∙ 06/11/2023

Predicting Software Performance with Divide-and-Learn

Predicting the performance of highly configurable software systems is th...

0 Jingzhi Gong, et al. ∙

research

∙ 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 ...

0 Jiakang Yuan, et al. ∙

research

∙ 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...

0 Chi Zhang, et al. ∙

research

∙ 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...

0 Chong Yu, et al. ∙

research

∙ 05/18/2023

Boost Vision Transformer with GPU-Friendly Sparsity and Quantization

The transformer extends its success from the language to the vision doma...

0 Chong Yu, et al. ∙

research

∙ 05/09/2023

Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation (WSSS) models relying on class a...

0 Tao Chen, et al. ∙

research

∙ 05/04/2023

Stimulative Training++: Go Beyond The Performance Limits of Residual Networks

Residual networks have shown great success and become indispensable in r...

0 Peng Ye, et al. ∙

research

∙ 04/23/2023

Semi-Supervised Semantic Segmentation With Region Relevance

Semi-supervised semantic segmentation aims to learn from a small amount ...

0 Rui Chen, et al. ∙

research

∙ 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...

0 Haoyang Peng, et al. ∙

research

∙ 04/10/2023

BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation

Medical image segmentation is a challenging task with inherent ambiguity...

0 Tao Chen, et al. ∙

research

∙ 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...

0 Chuangguan Ye, et al. ∙

research

∙ 03/31/2023

What Makes for Effective Few-shot Point Cloud Classification?

Due to the emergence of powerful computing resources and large-scale ann...

0 Chuangguan Ye, et al. ∙

research

∙ 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...

0 Sizhe Li, et al. ∙

research

∙ 03/23/2023

TactoFind: A Tactile Only System for Object Retrieval

We study the problem of object retrieval in scenarios where visual sensi...

0 Sameer Pai, et al. ∙

research

∙ 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...

0 Hancheng Ye, et al. ∙

research

∙ 03/13/2023

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

Current 3D object detection models follow a single dataset-specific trai...

0 Bo Zhang, et al. ∙

research

∙ 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...

0 Jiakang Yuan, et al. ∙

research

∙ 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...

0 Tao Chen, et al. ∙

research

∙ 02/14/2023

ConceptFusion: Open-set Multimodal 3D Mapping

Building 3D maps of the environment is central to robot navigation, plan...

17 Krishna Murthy Jatavallabhula, et al. ∙

research

∙ 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...

0 Huafeng Liu, et al. ∙

research

∙ 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 ...

0 Chongshan Lu, et al. ∙

research

∙ 01/16/2023

β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search

Neural Architecture Search has attracted increasing attention in recent ...

0 Peng Ye, et al. ∙

research

∙ 01/09/2023

Do Performance Aspirations Matter for Guiding Software Configuration Tuning?

Configurable software systems can be tuned for better performance. Lever...

0 Tao Chen, et al. ∙

research

∙ 01/06/2023

End-to-End 3D Dense Captioning with Vote2Cap-DETR

3D dense captioning aims to generate multiple captions localized with th...

0 Sijin Chen, et al. ∙

research

∙ 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...

0 Chenlu Zhan, et al. ∙

research

∙ 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-...

0 Ben Fei, et al. ∙

research

∙ 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...

0 Jiaxin Zhang, et al. ∙

research

∙ 12/08/2022

Executing your Commands via Motion Diffusion in Latent Space

We study a challenging task, conditional human motion generation, which ...

0 Xin Chen, et al. ∙

research

∙ 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...

0 Weimin Wu, et al. ∙

research

∙ 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...

0 Feng Zhou, et al. ∙

research

∙ 10/20/2022

Coordinates Are NOT Lonely – Codebook Prior Helps Implicit Neural 3D Representations

Implicit neural 3D representation has achieved impressive results in sur...

3 Fukun Yin, et al. ∙

research

∙ 10/11/2022

Retrieval Augmentation for T5 Re-ranker using External Sources

Retrieval augmentation has shown promising improvements in different tas...

10 Kai Hui, et al. ∙

research

∙ 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...

6 Peng Ye, et al. ∙

research

∙ 10/06/2022

Distilling Task-specific Logical Rules from Large Pre-trained Models

Logical rules, both transferable and explainable, are widely used as wea...

8 Tao Chen, et al. ∙

research

∙ 10/04/2022

Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks

Non-functional bugs (e.g., performance- or accuracy-related bugs) in Dee...

2 Guoming Long, et al. ∙

Tao Chen

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