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07/18/2023
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Small Object Detection (SOD) is an important machine vision topic becaus...
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06/04/2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
In fully cooperative multi-agent reinforcement learning (MARL) settings,...
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05/25/2023
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Addressing accuracy limitations and pose ambiguity in 6D object pose est...
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05/24/2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
In this paper, we establish a connection between the parameterization of...
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03/29/2023
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
Implicit neural representation has recently shown a promising ability in...
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03/09/2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
Flow-based methods have demonstrated promising results in addressing the...
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03/05/2023
Vision based Virtual Guidance for Navigation
This paper explores the impact of virtual guidance on mid-level represen...
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11/16/2022
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
Many unsupervised domain adaptation (UDA) methods have been proposed to ...
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09/26/2022
Quasi-Conservative Score-based Generative Models
Existing Score-based Generative Models (SGMs) can be categorized into co...
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08/18/2022
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation
This paper introduces pixel-wise prediction based visual odometry (PWVO)...
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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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03/27/2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Many existing conditional score-based data generation methods utilize Ba...
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03/09/2022
Investigation of Factorized Optical Flows as Mid-Level Representations
In this paper, we introduce a new concept of incorporating factorized fl...
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08/11/2021
Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
This paper proposes a new self-attention based model for music score inf...
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05/30/2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
Deep reinforcement learning (DRL) has been demonstrated to provide promi...
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04/29/2021
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
Recent researches on unsupervised domain adaptation (UDA) have demonstra...
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02/16/2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
In fully cooperative multi-agent reinforcement learning (MARL) settings,...
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07/16/2020
Mixture of Step Returns in Bootstrapped DQN
The concept of utilizing multi-step returns for updating value functions...
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08/05/2019
Construction of Macro Actions for Deep Reinforcement Learning
Conventional deep reinforcement learning typically determines an appropr...
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05/24/2019
Exploration via Flow-Based Intrinsic Rewards
Exploration bonuses derived from the novelty of observations in an envir...
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01/24/2019
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
Exploration bonus derived from the novelty of the states in an environme...
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09/09/2018
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information
In this paper, we investigate the use of an unsupervised label clusterin...
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06/26/2018
Adversarial Exploration Strategy for Self-Supervised Imitation Learning
We present an adversarial exploration strategy, a simple yet effective i...
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04/03/2018
Dynamic Video Segmentation Network
In this paper, we present a detailed design of dynamic video segmentatio...
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02/13/2018
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Efficient exploration remains a challenging research problem in reinforc...
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02/01/2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Collecting training data from the physical world is usually time-consumi...
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12/21/2017
