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08/19/2023
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction, crucial in applications like recomm...
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08/18/2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
The robustness of legged locomotion is crucial for quadrupedal robots in...
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08/09/2023
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
Multi-behavior recommendation algorithms aim to leverage the multiplex i...
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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...
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08/03/2023
Consistency Regularization for Generalizable Source-free Domain Adaptation
Source-free domain adaptation (SFDA) aims to adapt a well-trained source...
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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...
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07/15/2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...
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06/06/2023
Zero-shot Preference Learning for Offline RL via Optimal Transport
Preference-based Reinforcement Learning (PbRL) has demonstrated remarkab...
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06/01/2023
Normalization Enhances Generalization in Visual Reinforcement Learning
Recent advances in visual reinforcement learning (RL) have led to impres...
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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 ...
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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...
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04/11/2023
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Blind Image Quality Assessment (BIQA) is a fundamental task in computer ...
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04/10/2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
Equipped with the trained environmental dynamics, model-based offline re...
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03/23/2023
Efficient Meshy Neural Fields for Animatable Human Avatars
Efficiently digitizing high-fidelity animatable human avatars from video...
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02/12/2023
SemanticAC: Semantics-Assisted Framework for Audio Classification
In this paper, we propose SemanticAC, a semantics-assisted framework for...
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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...
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01/11/2023
Adversarial Alignment for Source Free Object Detection
Source-free object detection (SFOD) aims to transfer a detector pre-trai...
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01/04/2023
Emergent collective intelligence from massive-agent cooperation and competition
Inspired by organisms evolving through cooperation and competition betwe...
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12/09/2022
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness acti...
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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...
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12/07/2022
SimVTP: Simple Video Text Pre-training with Masked Autoencoders
This paper presents SimVTP: a Simple Video-Text Pretraining framework vi...
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11/26/2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Recently, deep neural networks have greatly advanced histopathology imag...
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10/26/2022
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks
Sequential recommendation (SR) plays an important role in personalized r...
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10/09/2022
State Advantage Weighting for Offline RL
We present state advantage weighting for offline reinforcement learning ...
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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...
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09/01/2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
A key challenge of continual reinforcement learning (CRL) in dynamic env...
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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...
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07/15/2022
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
Deep learning-based melanoma classification with dermoscopic images has ...
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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...
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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...
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06/09/2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Offline reinforcement learning (RL) defines the task of learning from a ...
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06/06/2022
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
This paper presents a language-powered paradigm for ordinal regression. ...
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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 ...
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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...
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12/09/2021
Implicit Feature Refinement for Instance Segmentation
We propose a novel implicit feature refinement module for high-quality i...
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10/13/2021
CLIP4Caption: CLIP for Video Caption
Video captioning is a challenging task since it requires generating sent...
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07/01/2021
MHER: Model-based Hindsight Experience Replay
Solving multi-goal reinforcement learning (RL) problems with sparse rewa...
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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...
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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...
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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...
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04/14/2021
Reward function shape exploration in adversarial imitation learning: an empirical study
For adversarial imitation learning algorithms (AILs), no true rewards ar...
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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...
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02/25/2021
Bias-reduced multi-step hindsight experience replay
Multi-goal reinforcement learning is widely used in planning and robot m...
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11/12/2020
Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
Multimodal image registration (MIR) is a fundamental procedure in many i...
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11/12/2020
Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks
The loss function of an unsupervised multimodal image registration frame...
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09/15/2020
F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration
Multimodal deformable image registration is essential for many image-gui...
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07/06/2020
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
Deformable image registration between Computed Tomography (CT) images an...
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06/11/2020
Disentangled Non-Local Neural Networks
The non-local block is a popular module for strengthening the context mo...
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06/05/2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
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02/28/2020