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09/05/2023
A Lightweight and Transferable Design for Robust LEGO Manipulation
LEGO is a well-known platform for prototyping pixelized objects. However...
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08/25/2023
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Deep reinforcement learning (RL) excels in various control tasks, yet th...
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06/21/2023
State-wise Constrained Policy Optimization
Reinforcement Learning (RL) algorithms have shown tremendous success in ...
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05/29/2023
Jigsaw: Learning to Assemble Multiple Fractured Objects
Automated assembly of 3D fractures is essential in orthopedics, archaeol...
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05/28/2023
Whitening-based Contrastive Learning of Sentence Embeddings
This paper presents a whitening-based contrastive learning method for se...
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05/25/2023
Fast Online Node Labeling for Very Large Graphs
This paper studies the online node classification problem under a transd...
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05/25/2023
Robotic LEGO Assembly and Disassembly from Human Demonstration
This paper studies automatic prototyping using LEGO. To satisfy individu...
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05/23/2023
GUARD: A Safe Reinforcement Learning Benchmark
Due to the trial-and-error nature, it is typically challenging to apply ...
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05/17/2023
On the Difficulty of Intersection Checking with Polynomial Zonotopes
Polynomial zonotopes, a non-convex set representation, have a wide range...
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04/20/2023
Feature-compatible Progressive Learning for Video Copy Detection
Video Copy Detection (VCD) has been developed to identify instances of u...
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04/18/2023
Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment
Trajectory generation in confined environment is crucial for wide adopti...
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04/14/2023
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection
This paper presents a DETR-based method for cross-domain weakly supervis...
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04/13/2023
TransHP: Image Classification with Hierarchical Prompting
This paper explores a hierarchical prompting mechanism for the hierarchi...
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04/04/2023
Reducing Discretization Error in the Frank-Wolfe Method
The Frank-Wolfe algorithm is a popular method in structurally constraine...
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03/18/2023
Exploring Expression-related Self-supervised Learning for Affective Behaviour Analysis
This paper explores an expression-related self-supervised learning (SSL)...
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03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
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03/16/2023
Unsupervised Facial Expression Representation Learning with Contrastive Local Warping
This paper investigates unsupervised representation learning for facial ...
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02/07/2023
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation
The automatic detection of atrial fibrillation based on electrocardiogra...
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02/07/2023
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Do people trust social media? If so, why, in what contexts, and how does...
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11/30/2022
Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion
Heterogeneity is a hallmark of many complex diseases. There are multiple...
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11/28/2022
Robust structured heterogeneity analysis approach for high-dimensional data
Revealing relationships between genes and disease phenotypes is a critic...
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11/28/2022
Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Heterogeneity is a hallmark of complex diseases. Regression-based hetero...
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11/28/2022
Semisoft Task Clustering for Multi-Task Learning
Multi-task learning (MTL) aims to improve the performance of multiple re...
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11/28/2022
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression
High-dimensional linear regression model is the most popular statistical...
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11/28/2022
Subgroup analysis for the functional linear model
Classical functional linear regression models the relationship between a...
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11/09/2022
Approximate backwards differentiation of gradient flow
The gradient flow (GF) is an ODE for which its explicit Euler's discreti...
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11/08/2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
This study investigates clustered federated learning (FL), one of the fo...
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11/07/2022
Generalizable Re-Identification from Videos with Cycle Association
In this paper, we are interested in learning a generalizable person re-i...
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10/14/2022
A Multistep Frank-Wolfe Method
The Frank-Wolfe algorithm has regained much interest in its use in struc...
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10/13/2022
Feature-Proxy Transformer for Few-Shot Segmentation
Few-shot segmentation (FSS) aims at performing semantic segmentation on ...
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07/26/2022
V^2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval
Product retrieval is of great importance in the ecommerce domain. This p...
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07/26/2022
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators
During the COVID-19 pandemic, a number of data visualizations were creat...
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07/21/2022
UFO: Unified Feature Optimization
This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...
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06/29/2022
SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and Tracking for Autonomous Driving
Detection And Tracking of Moving Objects (DATMO) is an essential compone...
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05/24/2022
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Image copy detection (ICD) aims to determine whether a query image is an...
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05/24/2022
Learning for Expressive Task-Related Sentence Representations
NLP models learn sentence representations for downstream tasks by tuning...
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05/24/2022
Accelerating Frank-Wolfe via Averaging Step Directions
The Frank-Wolfe method is a popular method in sparse constrained optimiz...
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03/03/2022
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains
Cross-domain person re-identification (re-ID), such as unsupervised doma...
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02/08/2022
Results and findings of the 2021 Image Similarity Challenge
The 2021 Image Similarity Challenge introduced a dataset to serve as a n...
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01/17/2022
Action Keypoint Network for Efficient Video Recognition
Reducing redundancy is crucial for improving the efficiency of video rec...
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12/15/2021
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval
This paper tackles the Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) ...
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11/13/2021
Bag of Tricks and A Strong baseline for Image Copy Detection
Image copy detection is of great importance in real-life social media. I...
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11/13/2021
D^2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Image copy detection is of great importance in real-life social media. I...
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10/04/2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Model smoothing is of central importance for obtaining a reliable teache...
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08/05/2021
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID
Unsupervised domain adaptive person re-identification (UDA re-ID) aims a...
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07/02/2021
Screening for a Reweighted Penalized Conditional Gradient Method
The conditional gradient method (CGM) is widely used in large-scale spar...
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06/29/2021
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
In this paper, we propose approximate Frank-Wolfe (FW) algorithms to sol...
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04/02/2021
Daisen: A Framework for Visualizing Detailed GPU Execution
Graphics Processing Units (GPUs) have been widely used to accelerate art...
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03/22/2021
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
This paper introduces a new fundamental characteristic, , the dynamic ra...
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01/12/2021