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09/19/2023
LineMarkNet: Line Landmark Detection for Valet Parking
We aim for accurate and efficient line landmark detection for valet park...
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09/15/2023
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Evaluating open-domain dialogue systems is challenging for reasons such ...
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08/17/2023
Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis
This paper presents a corpus-based analysis of argument structure errors...
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07/08/2023
Answering Ambiguous Questions via Iterative Prompting
In open-domain question answering, due to the ambiguity of questions, mu...
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06/08/2023
A new framework for the analysis of finite element methods for fluid-structure interaction problems
Finite element methods and kinematically coupled schemes that decouple t...
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05/27/2023
Towards Explainable Conversational Recommender Systems
Explanations in conventional recommender systems have demonstrated benef...
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04/19/2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Large Language Models (LLMs) have demonstrated a remarkable ability to g...
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04/10/2023
Generative Knowledge Selection for Knowledge-Grounded Dialogues
Knowledge selection is the key in knowledge-grounded dialogues (KGD), wh...
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04/09/2023
Learning to Tokenize for Generative Retrieval
Conventional document retrieval techniques are mainly based on the index...
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12/20/2022
Contrastive Learning Reduces Hallucination in Conversations
Pre-trained language models (LMs) store knowledge in their parameters an...
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12/13/2022
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion
Channel and spatial attention mechanism has proven to provide an evident...
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11/23/2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
GPS trajectories are the essential foundations for many trajectory-based...
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09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
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07/20/2022
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds
We introduce a method for instance proposal generation for 3D point clou...
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07/09/2022
Adaptive Structural Similarity Preserving for Unsupervised Cross Modal Hashing
Cross-modal hashing is an important approach for multimodal data managem...
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06/28/2022
Optimal analysis of finite element methods for the stochastic Stokes equations
Numerical analysis for the stochastic Stokes/Navier-Stokes equations is ...
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06/16/2022
TUSK: Task-Agnostic Unsupervised Keypoints
Existing unsupervised methods for keypoint learning rely heavily on the ...
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04/26/2022
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
How to coordinate the communication among intersections effectively in r...
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04/02/2022
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline ...
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03/18/2022
New analysis of Mixed finite element methods for incompressible Magnetohydrodynamics
The paper focuses on a new error analysis of a class of mixed FEMs for s...
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06/13/2021
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
The monitoring of coastal wetlands is of great importance to the protect...
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05/08/2021
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Evaluation is crucial in the development process of task-oriented dialog...
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12/08/2020
Canonical Capsules: Unsupervised Capsules in Canonical Pose
We propose an unsupervised capsule architecture for 3D point clouds. We ...
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10/15/2020
LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
Deep learning methods have shown considerable potential for hyperspectra...
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07/17/2020
Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns
It is reasonable to hypothesize that the divergence patterns formulated ...
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06/30/2020
Vehicle Re-ID for Surround-view Camera System
The vehicle re-identification (ReID) plays a critical role in the percep...
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05/12/2020
PSDet: Efficient and Universal Parking Slot Detection
While real-time parking slot detection plays a critical role in valet pa...
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02/17/2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Automatic map extraction is of great importance to urban computing and l...
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02/12/2020
New analysis of Galerkin-mixed FEMs for incompressible miscible flow in porous media
Analysis of Galerkin-mixed FEMs for incompressible miscible flow in poro...
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10/09/2019
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Gastric cancer is one of the most common cancers, which ranks third amon...
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09/17/2019
Optimizing Through Learned Errors for Accurate Sports Field Registration
We propose an optimization-based framework to register sports field temp...
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07/04/2019
Attentive Context Normalization for Robust Permutation-Equivariant Learning
Many problems in computer vision require dealing with sparse, unstructur...
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07/04/2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
We present a phenomenon-oriented comparative analysis of the two dominan...
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04/11/2019
Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...
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04/11/2019
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a jo...
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01/22/2019
Linearized Multi-Sampling for Differentiable Image Transformation
We propose a novel image sampling method for differentiable image transf...
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08/28/2018
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data
This paper studies semantic parsing for interlanguage (L2), taking seman...
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02/06/2018
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
Estimating the travel time of a path is of great importance to smart urb...
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11/25/2017
