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09/18/2023
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Grasping occluded objects in cluttered environments is an essential comp...
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08/25/2023
QKSAN: A Quantum Kernel Self-Attention Network
Self-Attention Mechanism (SAM) is skilled at extracting important inform...
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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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07/11/2023
Disentangled Contrastive Image Translation for Nighttime Surveillance
Nighttime surveillance suffers from degradation due to poor illumination...
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06/28/2023
Sequential Attention Source Identification Based on Feature Representation
Snapshot observation based source localization has been widely studied d...
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06/26/2023
Hierarchical Matching and Reasoning for Multi-Query Image Retrieval
As a promising field, Multi-Query Image Retrieval (MQIR) aims at searchi...
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06/13/2023
Variational Positive-incentive Noise: How Noise Benefits Models
A large number of works aim to alleviate the impact of noise due to an u...
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06/05/2023
Image Reconstruction for Accelerated MR Scan with Faster Fourier Convolutional Neural Networks
Partial scan is a common approach to accelerate Magnetic Resonance Imagi...
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05/29/2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Diffusion models have demonstrated highly-expressive generative capabili...
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05/28/2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Generalizing policies across different domains with dynamics mismatch po...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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05/21/2023
Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy
Feature selection (FS) plays an important role in machine learning, whic...
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05/08/2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
In reinforcement learning, unsupervised skill discovery aims to learn di...
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04/24/2023
Transformer-based stereo-aware 3D object detection from binocular images
Vision Transformers have shown promising progress in various object dete...
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04/20/2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
Graph neural networks (GNN) suffer from severe inefficiency. It is mainl...
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04/11/2023
One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field
Talking head generation aims to generate faces that maintain the identit...
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04/03/2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning
Deep generative models have demonstrated successful applications in lear...
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03/31/2023
Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction
This paper addresses the problem of rolling shutter correction in comple...
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03/29/2023
ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance
Understanding 3D scenes from multi-view inputs has been proven to allevi...
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03/21/2023
Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking
Non-line-of-sight (NLOS) tracking has drawn increasing attention in rece...
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03/19/2023
Fully Self-Supervised Depth Estimation from Defocus Clue
Depth-from-defocus (DFD), modeling the relationship between depth and de...
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02/09/2023
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
Weakly supervised person search aims to perform joint pedestrian detecti...
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01/25/2023
Delegated variational quantum algorithms based on quantum homomorphic encryption
Variational quantum algorithms (VQAs) are considered as one of the most ...
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01/17/2023
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
As a fundamental and challenging task in bridging language and vision do...
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12/19/2022
Positive-incentive Noise
Noise is conventionally viewed as a severe problem in diverse fields, e....
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12/07/2022
On the Global Solution of Soft k-Means
This paper presents an algorithm to solve the Soft k-Means problem globa...
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10/30/2022
Search to Pass Messages for Temporal Knowledge Graph Completion
Completing missing facts is a fundamental task for temporal knowledge gr...
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10/19/2022
Deep Learning Based Two-dimensional Speaker Localization With Large Ad-hoc Microphone Arrays
Deep learning based speaker localization has shown its advantage in reve...
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08/22/2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Causal inference has become a powerful tool to handle the out-of-distrib...
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08/20/2022
Learning in Audio-visual Context: A Review, Analysis, and New Perspective
Sight and hearing are two senses that play a vital role in human communi...
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08/11/2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Few-shot Class-Incremental Learning (FSCIL) aims at learning new concept...
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08/05/2022
Low-Light Hyperspectral Image Enhancement
Due to inadequate energy captured by the hyperspectral camera sensor in ...
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02/22/2022
Relation Regularized Scene Graph Generation
Scene graph generation (SGG) is built on top of detected objects to pred...
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12/09/2021
New Tight Relaxations of Rank Minimization for Multi-Task Learning
Multi-task learning has been observed by many researchers, which suppose...
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10/28/2021
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
In recent years, anomaly events detection in crowd scenes attracts many ...
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09/22/2021
Hierarchical Multimodal Transformer to Summarize Videos
Although video summarization has achieved tremendous success benefiting ...
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08/02/2021
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Crowd localization is a new computer vision task, evolved from crowd cou...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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05/17/2021
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
Video frame interpolation can up-convert the frame rate and enhance the ...
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05/17/2021
AudioVisual Video Summarization
Audio and vision are two main modalities in video data. Multimodal learn...
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05/10/2021
Reconstructive Sequence-Graph Network for Video Summarization
Exploiting the inner-shot and inter-shot dependencies is essential for k...
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04/24/2021
Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image
Hyperspectral image (HSI) clustering, which aims at dividing hyperspectr...
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04/11/2021
Auto-weighted Multi-view Feature Selection with Graph Optimization
In this paper, we focus on the unsupervised multi-view feature selection...
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04/11/2021
RayNet: Real-time Scene Arbitrary-shape Text Detection with Multiple Rays
Existing object detection-based text detectors mainly concentrate on det...
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03/25/2021
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Graph-based semi-supervised learning methods, which deal well with the s...
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03/24/2021
Feature Weighted Non-negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is one of the most popular techn...
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03/24/2021
Entropy Minimizing Matrix Factorization
Nonnegative Matrix Factorization (NMF) is a widely-used data analysis te...
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03/17/2021
Multi-channel Deep Supervision for Crowd Counting
Crowd counting is a task worth exploring in modern society because of it...
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03/09/2021
Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
In this paper, a new task is proposed, namely, weather translation, whic...
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01/06/2021
