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10/05/2022
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Knowledge-grounded dialog systems need to incorporate smooth transitions...
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05/28/2021
2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image
In this paper, we present our solution for the IJCAI–PRICAI–20 3D AI Cha...
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05/21/2021
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
Scale variation is one of the most challenging problems in face detectio...
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05/15/2021
Premise-based Multimodal Reasoning: A Human-like Cognitive Process
Reasoning is one of the major challenges of Human-like AI and has recent...
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01/09/2021
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
Beyond generating long and topic-coherent paragraphs in traditional capt...
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10/15/2020
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
Developing conversational agents to interact with patients and provide p...
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10/26/2019
A Preliminary Study on Optimal Placement of Cameras
This paper primarily focuses on figuring out the best array of cameras, ...
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09/09/2019
DaTscan SPECT Image Classification for Parkinson's Disease
Parkinson's Disease (PD) is a neurodegenerative disease that currently d...
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09/09/2019
Detection and Classification of Breast Cancer Metastates Based on U-Net
This paper presents U-net based breast cancer metastases detection and c...
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08/14/2019
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning
Person re-identification (re-ID) aims to recognize a person-of-interest ...
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03/21/2019
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition
Deep metric learning is essential for visual recognition. The widely use...
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01/30/2019
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Beyond current conversational chatbots or task-oriented dialogue systems...
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11/02/2018
Semiparametric Mixture Regression with Unspecified Error Distributions
In fitting a mixture of linear regression models, normal assumption is t...
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02/10/2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
This paper presents incremental network quantization (INQ), a novel meth...
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05/06/2015
Re-scale boosting for regression and classification
Boosting is a learning scheme that combines weak prediction rules to pro...
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11/05/2012
Algorithm Runtime Prediction: Methods & Evaluation
Perhaps surprisingly, it is possible to predict how long an algorithm wi...
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10/31/2011