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08/18/2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
We tackle the data scarcity challenge in few-shot point cloud recognitio...
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08/17/2023
SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning
In fisheye images, rich distinct distortion patterns are regularly distr...
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08/14/2023
Masked Motion Predictors are Strong 3D Action Representation Learners
In 3D human action recognition, limited supervised data makes it challen...
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08/11/2023
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
Recent progress in weakly supervised object detection is featured by a c...
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07/06/2023
Audio-visual End-to-end Multi-channel Speech Separation, Dereverberation and Recognition
Accurate recognition of cocktail party speech containing overlapping spe...
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06/27/2023
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition
Automatic recognition of disordered and elderly speech remains highly ch...
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06/26/2023
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems
Rich sources of variability in natural speech present significant challe...
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06/23/2023
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems
Current ASR systems are mainly trained and evaluated at the utterance le...
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06/02/2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
LiDAR and Radar are two complementary sensing approaches in that LiDAR s...
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05/18/2023
Use of Speech Impairment Severity for Dysarthric Speech Recognition
A key challenge in dysarthric speech recognition is the speaker-level di...
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04/18/2023
Deep Unrestricted Document Image Rectification
In recent years, tremendous efforts have been made on document image rec...
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02/28/2023
Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition
Automatic recognition of disordered and elderly speech remains a highly ...
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02/15/2023
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems
Speaker adaptation techniques provide a powerful solution to customise a...
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01/21/2023
Recurrent Contour-based Instance Segmentation with Progressive Learning
Contour-based instance segmentation has been actively studied, thanks to...
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01/13/2023
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection
The recent trend for multi-camera 3D object detection is through the uni...
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11/03/2022
Adversarial Data Augmentation Using VAE-GAN for Disordered Speech Recognition
Automatic recognition of disordered speech remains a highly challenging ...
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10/29/2022
Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...
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10/15/2022
Geometric Representation Learning for Document Image Rectification
In document image rectification, there exist rich geometric constraints ...
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08/26/2022
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
In 3D action recognition, there exists rich complementary information be...
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06/24/2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition
A key challenge for automatic speech recognition (ASR) systems is to mod...
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06/23/2022
Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating p...
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06/23/2022
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems
Fundamental modelling differences between hybrid and end-to-end (E2E) au...
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06/15/2022
Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition
Articulatory features are inherently invariant to acoustic signal distor...
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06/14/2022
TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer
In this work, we explore neat yet effective Transformer-based frameworks...
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05/13/2022
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition
Despite the rapid progress of automatic speech recognition (ASR) technol...
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04/05/2022
Audio-visual multi-channel speech separation, dereverberation and recognition
Despite the rapid advance of automatic speech recognition (ASR) technolo...
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01/08/2022
Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks
State-of-the-art automatic speech recognition (ASR) system development i...
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11/29/2021
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion
It has been well recognized that fusing the complementary information fr...
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10/28/2021
DocScanner: Robust Document Image Rectification with Progressive Learning
Compared to flatbed scanners, portable smartphones are much more conveni...
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10/25/2021
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
In this work, we propose a new framework, called Document Image Transfor...
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07/30/2021
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection
As an emerging data modal with precise distance sensing, LiDAR point clo...
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07/06/2021
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting
As cameras are increasingly deployed in new application domains such as ...
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06/30/2021
Weakly Supervised Temporal Adjacent Network for Language Grounding
Temporal language grounding (TLG) is a fundamental and challenging probl...
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04/17/2021
TransVG: End-to-End Visual Grounding with Transformers
In this paper, we present a neat yet effective transformer-based framewo...
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01/31/2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
3D object detection is receiving increasing attention from both industry...
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12/31/2020
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Recent advances on 3D object detection heavily rely on how the 3D data a...
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10/15/2020
Masked Contrastive Representation Learning for Reinforcement Learning
Improving sample efficiency is a key research problem in reinforcement l...
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07/07/2020
Single Shot Video Object Detector
Single shot detectors that are potentially faster and simpler than two-s...
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03/07/2020
Adaptive Offline Quintuplet Loss for Image-Text Matching
Existing image-text matching approaches typically leverage triplet loss ...
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08/26/2019