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09/15/2023
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
Fact-checking in financial domain is under explored, and there is a shor...
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08/18/2023
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning
With the success of self-supervised learning, multimodal foundation mode...
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08/14/2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
Recently, Neural Radiance Field (NeRF) has shown great success in render...
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07/26/2023
LOIS: Looking Out of Instance Semantics for Visual Question Answering
Visual question answering (VQA) has been intensively studied as a multim...
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07/13/2023
Free-Form Composition Networks for Egocentric Action Recognition
Egocentric action recognition is gaining significant attention in the fi...
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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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05/06/2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Existing knowledge distillation works for semantic segmentation mainly f...
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04/06/2023
ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about
Large language models have gained considerable interest for their impres...
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02/07/2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Precise delineation of multiple organs or abnormal regions in the human ...
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12/23/2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
The advance of computer-aided detection systems using deep learning open...
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12/02/2022
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
In unsupervised domain adaptation (UDA), a model trained on source data ...
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11/10/2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Social media has been one of the main information consumption sources fo...
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08/19/2022
SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction
Multi-person motion prediction remains a challenging problem, especially...
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08/09/2022
Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots
In this paper, we describe a data enhancement method for developing Emil...
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08/08/2022
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Video-text retrieval (VTR) is an attractive yet challenging task for mul...
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09/29/2021
Can multi-label classification networks know what they don't know?
Estimating out-of-distribution (OOD) uncertainty is a central challenge ...
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09/18/2021
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona
In this paper, we describe approaches for developing Emily, an emotion-a...
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06/11/2021
Step-Wise Hierarchical Alignment Network for Image-Text Matching
Image-text matching plays a central role in bridging the semantic gap be...
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05/19/2021
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning
Machine Learning (ML) has been embraced as a powerful tool by the financ...
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12/18/2020
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
Query reformulation aims to alter potentially noisy or ambiguous text se...
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12/08/2020
Context-Aware Graph Convolution Network for Target Re-identification
Most existing re-identification methods focus on learning robust and dis...
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08/18/2020
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
This paper is the report of the first Under-Display Camera (UDC) image r...
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07/17/2020
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
Despite great progress in supervised semantic segmentation,a large perfo...
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07/17/2020
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
Image-text matching plays a central role in bridging vision and language...
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04/11/2020
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds
This paper derives rates of convergence of certain approximations of the...
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07/26/2019
Large scale continuous-time mean-variance portfolio allocation via reinforcement learning
We propose to solve large scale Markowitz mean-variance (MV) portfolio a...
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04/25/2019
Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework
We approach the continuous-time mean-variance (MV) portfolio selection w...
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04/25/2019
Continuous-Time Mean-Variance Portfolio Optimization via Reinforcement Learning
We consider continuous-time Mean-variance (MV) portfolio optimization pr...
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04/20/2019
Saliency-Guided Attention Network for Image-Sentence Matching
This paper studies the task of matching image and sentence, where learni...
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12/04/2018
Exploration versus exploitation in reinforcement learning: a stochastic control approach
We consider reinforcement learning (RL) in continuous time and study the...
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11/29/2018