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09/18/2023
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Foundation models such as ChatGPT have made significant strides in robot...
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08/25/2023
AdvisingNets: Learning to Distinguish Correct and Wrong Classifications via Nearest-Neighbor Explanations
Besides providing insights into how an image classifier makes its predic...
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07/07/2023
Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery
In surgical oncology, it is challenging for surgeons to identify lymph n...
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06/20/2023
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
Visual navigation, a foundational aspect of Embodied AI (E-AI), has been...
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04/16/2023
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching
Endovascular intervention training is increasingly being conducted in vi...
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04/11/2023
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification
Image classifiers are information-discarding machines, by design. Yet, h...
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03/22/2023
Music-Driven Group Choreography
Music-driven choreography is a challenging problem with a wide variety o...
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03/17/2023
Style Transfer for 2D Talking Head Animation
Audio-driven talking head animation is a challenging research topic with...
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03/13/2023
Meet in the Middle: A New Pre-training Paradigm
Most language models (LMs) are trained and applied in an autoregressive ...
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03/11/2023
Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss
Federated learning has been widely applied in autonomous driving since i...
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03/04/2023
Open-Vocabulary Affordance Detection in 3D Point Clouds
Affordance detection is a challenging problem with a wide variety of rob...
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02/25/2023
A Light-weight Deep Learning Model for Remote Sensing Image Classification
In this paper, we present a high-performance and light-weight deep learn...
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01/25/2023
ViDeBERTa: A powerful pre-trained language model for Vietnamese
This paper presents ViDeBERTa, a new pre-trained monolingual language mo...
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11/11/2022
Two-Step Online Trajectory Planning of a Quadcopter in Indoor Environments with Obstacles
This paper presents a two-step algorithm for online trajectory planning ...
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11/08/2022
Machine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators
Solving the analytical inverse kinematics (IK) of redundant manipulators...
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09/21/2022
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
Despite significant progress over the past few years, ambiguity is still...
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09/11/2022
Inverse Image Frequency for Long-tailed Image Recognition
The long-tailed distribution is a common phenomenon in the real world. E...
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08/17/2022
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
Depth estimation is a crucial step for image-guided intervention in robo...
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08/02/2022
CathSim: An Open-source Simulator for Autonomous Cannulation
Autonomous robots in endovascular operations have the potential to navig...
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07/26/2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Explaining artificial intelligence (AI) predictions is increasingly impo...
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07/22/2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Major advancements have been made in the field of object detection and s...
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07/21/2022
CodeT: Code Generation with Generated Tests
The task of generating code solutions for a given programming problem ca...
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07/20/2022
Multigraph Topology Design for Cross-Silo Federated Learning
Cross-silo federated learning utilizes a few hundred reliable data silos...
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07/19/2022
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search
Since BERT (Devlin et al., 2018), learning contextualized word embedding...
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05/25/2022
How explainable are adversarially-robust CNNs?
Three important criteria of existing convolutional neural networks (CNNs...
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05/21/2022
Fine-Grained Visual Classification using Self Assessment Classifier
Extracting discriminative features plays a crucial role in the fine-grai...
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01/01/2022
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media
Hydroxychloroquine (HCQ) is used to prevent or treat malaria caused by m...
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12/07/2021
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
Face identification (FI) is ubiquitous and drives many high-stake decisi...
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11/07/2021
Global-Local Attention for Emotion Recognition
Human emotion recognition is an active research area in artificial intel...
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10/22/2021
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
Explaining how important each input feature is to a classifier's decisio...
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10/12/2021
Deep Federated Learning for Autonomous Driving
Autonomous driving is an active research topic in both academia and indu...
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10/07/2021
DeepECMP: Predicting Extracellular Matrix Proteins using Deep Learning
Introduction: The extracellular matrix (ECM) is a networkof proteins and...
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10/06/2021
Coarse-to-Fine Reasoning for Visual Question Answering
Bridging the semantic gap between image and question is an important ste...
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10/04/2021
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
Deformable registration is a crucial step in many medical procedures suc...
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09/27/2021
Attention Gate in Traffic Forecasting
Because of increased urban complexity and growing populations, more and ...
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09/27/2021
Semi-Supervised Adversarial Discriminative Domain Adaptation
Domain adaptation is a potential method to train a powerful deep neural ...
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08/24/2021
Occlusion-robust Visual Markerless Bone Tracking for Computer-Assisted Orthopaedic Surgery
Conventional computer-assisted orthopaedic navigation systems rely on th...
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07/09/2021
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Dense depth estimation and 3D reconstruction of a surgical scene are cru...
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06/13/2021
The DEformer: An Order-Agnostic Distribution Estimating Transformer
Order-agnostic autoregressive distribution estimation (OADE), i.e., auto...
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06/13/2021
Inverting Adversarially Robust Networks for Image Synthesis
Recent research in adversarially robust classifiers suggests their repre...
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05/31/2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Explaining the decisions of an Artificial Intelligence (AI) model is inc...
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05/19/2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
Transfer learning is an important step to extract meaningful features an...
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04/24/2021
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
In many multi-agent spatiotemporal systems, the agents are under the inf...
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04/14/2021
Graph-based Person Signature for Person Re-Identifications
The task of person re-identification (ReID) is to match images of the sa...
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04/05/2021
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
This paper provides an analysis of state-of-the-art activation functions...
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03/04/2021
Speech Emotion Recognition using Semantic Information
Speech emotion recognition is a crucial problem manifesting in a multitu...
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02/20/2021
WaNet – Imperceptible Warping-based Backdoor Attack
With the thriving of deep learning and the widespread practice of using ...
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02/05/2021
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
Multi-agent spatiotemporal modeling is a challenging task from both an a...
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12/30/2020
Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?
Do state-of-the-art natural language understanding models care about wor...
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12/26/2020