b'Xiu Li'

research

∙ 08/19/2023

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction, crucial in applications like recomm...

0 Hengyu Zhang, et al. ∙

research

∙ 08/18/2023

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

The robustness of legged locomotion is crucial for quadrupedal robots in...

0 Jiyuan Shi, et al. ∙

research

∙ 08/09/2023

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation

Multi-behavior recommendation algorithms aim to leverage the multiplex i...

0 Chang Meng, et al. ∙

research

∙ 08/06/2023

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

Camouflaged object detection (COD) is the challenging task of identifyin...

0 Chunming He, et al. ∙

research

∙ 08/03/2023

Consistency Regularization for Generalizable Source-free Domain Adaptation

Source-free domain adaptation (SFDA) aims to adapt a well-trained source...

0 Longxiang Tang, et al. ∙

research

∙ 08/01/2023

Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment

Video quality assessment (VQA) has attracted growing attention in recent...

0 Hongbo Liu, et al. ∙

research

∙ 07/15/2023

HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance

Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...

0 Chunming He, et al. ∙

research

∙ 06/06/2023

Zero-shot Preference Learning for Offline RL via Optimal Transport

Preference-based Reinforcement Learning (PbRL) has demonstrated remarkab...

0 Runze Liu, et al. ∙

research

∙ 06/01/2023

Normalization Enhances Generalization in Visual Reinforcement Learning

Recent advances in visual reinforcement learning (RL) have led to impres...

0 Lu Li, et al. ∙

research

∙ 05/18/2023

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment ...

0 Chunming He, et al. ∙

research

∙ 04/21/2023

Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation

Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research...

0 mengqun Jin, et al. ∙

research

∙ 04/11/2023

Data-Efficient Image Quality Assessment with Attention-Panel Decoder

Blind Image Quality Assessment (BIQA) is a fundamental task in computer ...

0 Guanyi Qin, et al. ∙

research

∙ 04/10/2023

Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning

Equipped with the trained environmental dynamics, model-based offline re...

0 Junjie Zhang, et al. ∙

research

∙ 03/23/2023

Efficient Meshy Neural Fields for Animatable Human Avatars

Efficiently digitizing high-fidelity animatable human avatars from video...

0 Xiaoke Huang, et al. ∙

research

∙ 02/12/2023

SemanticAC: Semantics-Assisted Framework for Audio Classification

In this paper, we propose SemanticAC, a semantics-assisted framework for...

0 Yicheng Xiao, et al. ∙

research

∙ 01/14/2023

Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy

Transfer learning is a promising method for AOI applications since it ca...

0 Erik Isai Valle Salgado, et al. ∙

research

∙ 01/11/2023

Adversarial Alignment for Source Free Object Detection

Source-free object detection (SFOD) aims to transfer a detector pre-trai...

0 Qiaosong Chu, et al. ∙

research

∙ 01/04/2023

Emergent collective intelligence from massive-agent cooperation and competition

Inspired by organisms evolving through cooperation and competition betwe...

0 HanMo Chen, et al. ∙

research

∙ 12/09/2022

FLAG3D: A 3D Fitness Activity Dataset with Language Instruction

With the continuously thriving popularity around the world, fitness acti...

0 Yansong Tang, et al. ∙

research

∙ 12/07/2022

Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation

Achieving multiple genres and long-term choreography sequences from give...

0 Ronghui Li, et al. ∙

research

∙ 12/07/2022

SimVTP: Simple Video Text Pre-training with Masked Autoencoders

This paper presents SimVTP: a Simple Video-Text Pretraining framework vi...

0 Yue Ma, et al. ∙

research

∙ 11/26/2022

Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation

Recently, deep neural networks have greatly advanced histopathology imag...

0 Wentao Pan, et al. ∙

research

∙ 10/26/2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks

Sequential recommendation (SR) plays an important role in personalized r...

0 Hengyu Zhang, et al. ∙

research

∙ 10/09/2022

State Advantage Weighting for Offline RL

We present state advantage weighting for offline reinforcement learning ...

0 Jiafei Lyu, et al. ∙

research

∙ 10/09/2022

Estimating Neural Reflectance Field from Radiance Field using Tree Structures

We present a new method for estimating the Neural Reflectance Field (NRe...

0 Xiu Li, et al. ∙

research

∙ 09/01/2022

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

A key challenge of continual reinforcement learning (CRL) in dynamic env...

2 Tiantian Zhang, et al. ∙

research

∙ 08/03/2022

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, et...

0 Chang Meng, et al. ∙

research

∙ 07/15/2022

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

Deep learning-based melanoma classification with dermoscopic images has ...

0 Chenghui Yu, et al. ∙

research

∙ 06/16/2022

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

The learned policy of model-free offline reinforcement learning (RL) met...

0 Jiafei Lyu, et al. ∙

research

∙ 06/15/2022

Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction

Recently, deep neural networks have greatly advanced undersampled Magnet...

0 Jiangpeng Yan, et al. ∙

research

∙ 06/09/2022

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Offline reinforcement learning (RL) defines the task of learning from a ...

0 Jiafei Lyu, et al. ∙

research

∙ 06/06/2022

OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression

This paper presents a language-powered paradigm for ordinal regression. ...

1 Wanhua Li, et al. ∙

research

∙ 01/03/2022

Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

The dynamic job-shop scheduling problem (DJSP) is a class of scheduling ...

3 Yunhui Zeng, et al. ∙

research

∙ 12/21/2021

Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients

It is vital to accurately estimate the value function in Deep Reinforcem...

0 Jiafei Lyu, et al. ∙

research

∙ 12/09/2021

Implicit Feature Refinement for Instance Segmentation

We propose a novel implicit feature refinement module for high-quality i...

0 Lufan Ma, et al. ∙

research

∙ 10/13/2021

CLIP4Caption: CLIP for Video Caption

Video captioning is a challenging task since it requires generating sent...

0 Mingkang Tang, et al. ∙

research

∙ 07/01/2021

MHER: Model-based Hindsight Experience Replay

Solving multi-goal reinforcement learning (RL) problems with sparse rewa...

0 Rui Yang, et al. ∙

research

∙ 06/18/2021

A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation

Boundary-based instance segmentation has drawn much attention since of i...

0 Feng Luo, et al. ∙

research

∙ 06/06/2021

Efficient Continuous Control with Double Actors and Regularized Critics

How to obtain good value estimation is one of the key problems in Reinfo...

0 Jiafei Lyu, et al. ∙

research

∙ 06/03/2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Manually segmenting the hepatic vessels from Computer Tomography (CT) is...

4 Zhe Xu, et al. ∙

research

∙ 04/14/2021

Reward function shape exploration in adversarial imitation learning: an empirical study

For adversarial imitation learning algorithms (AILs), no true rewards ar...

0 Yawei Wang, et al. ∙

research

∙ 04/07/2021

Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution

High quality imaging usually requires bulky and expensive lenses to comp...

0 Xiu Li, et al. ∙

research

∙ 02/25/2021

Bias-reduced multi-step hindsight experience replay

Multi-goal reinforcement learning is widely used in planning and robot m...

1 Rui Yang, et al. ∙

research

∙ 11/12/2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Multimodal image registration (MIR) is a fundamental procedure in many i...

0 Zhe Xu, et al. ∙

research

∙ 11/12/2020

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

The loss function of an unsupervised multimodal image registration frame...

0 Zhe Xu, et al. ∙

research

∙ 09/15/2020

F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration

Multimodal deformable image registration is essential for many image-gui...

0 Zhe Xu, et al. ∙

research

∙ 07/06/2020

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

Deformable image registration between Computed Tomography (CT) images an...

0 Zhe Xu, et al. ∙

research

∙ 06/11/2020

Disentangled Non-Local Neural Networks

The non-local block is a popular module for strengthening the context mo...

0 Minghao Yin, et al. ∙

research

∙ 06/05/2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

The generative adversarial imitation learning (GAIL) has provided an adv...

8 Ming Zhang, et al. ∙

research

∙ 02/28/2020

4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras

This paper contributes a novel realtime multi-person motion capture algo...

0 Yuxiang Zhang, et al. ∙

Xiu Li

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