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08/29/2023
Large Language Models in Fault Localisation
Large Language Models (LLMs) have shown promise in multiple software eng...
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08/17/2023
Beam Retrieval: General End-to-End Retrieval for Multi-Hop Question Answering
Multi-hop QA involves finding multiple relevant passages and step-by-ste...
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08/03/2023
Multimodal Adaptation of CLIP for Few-Shot Action Recognition
Applying large-scale pre-trained visual models like CLIP to few-shot act...
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07/13/2023
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
In the realm of Tiny AI, we introduce "You Only Look at Interested Cells...
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05/30/2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Real-world time series is characterized by intrinsic non-stationarity th...
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05/19/2023
Learning Global-aware Kernel for Image Harmonization
Image harmonization aims to solve the visual inconsistency problem in co...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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03/15/2023
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
Recently, neural implicit surfaces have become popular for multi-view re...
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03/13/2023
OverlapNetVLAD: A Coarse-to-Fine Framework for LiDAR-based Place Recognition
Place recognition is a challenging yet crucial task in robotics. Existin...
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03/09/2023
Efficient and Parallel Solution of High-order Continuous Time Galerkin for Dissipative and Wave Propagation Problems
We propose efficient and parallel algorithms for the implementation of t...
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02/07/2023
Learning Discretized Neural Networks under Ricci Flow
In this paper, we consider Discretized Neural Networks (DNNs) consisting...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/01/2023
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap
Medical image segmentation (MIS) is essential for supporting disease dia...
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10/05/2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Time series analysis is of immense importance in extensive applications,...
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07/31/2022
DA^2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping
In this paper, we introduce DA^2, the first large-scale dual-arm dexteri...
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07/18/2022
Adaptive Assignment for Geometry Aware Local Feature Matching
Local image feature matching, aiming to identify and correspond similar ...
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05/28/2022
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting
Transformers have shown great power in time series forecasting due to th...
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03/04/2022
Class-Aware Contrastive Semi-Supervised Learning
Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...
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11/16/2021
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
The Ricci flow is a partial differential equation for evolving the metri...
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09/17/2021
ActionCLIP: A New Paradigm for Video Action Recognition
The canonical approach to video action recognition dictates a neural mod...
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05/20/2021
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Medical image segmentation is important for computer-aided diagnosis. Go...
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08/11/2020
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image
This paper presents a novel end-to-end dynamic time-lapse video generati...
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07/29/2020
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Sensor calibration is the fundamental block for a multi-sensor fusion sy...
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04/26/2020
Endowing Empathetic Dialogue Systems with Personas
Empathetic dialogue systems have been shown to improve user satisfaction...
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05/27/2019
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks
We propose an end to end deep learning approach for generating real-time...
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04/18/2018
