research
∙
09/11/2023
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version)
Causal discovery is a powerful technique for identifying causal relation...
share
research
∙
07/10/2023
SparseVSR: Lightweight and Noise Robust Visual Speech Recognition
Recent advances in deep neural networks have achieved unprecedented succ...
research
∙
06/15/2023
Towards Practical Federated Causal Structure Learning
Understanding causal relations is vital in scientific discovery. The pro...
research
∙
05/22/2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness
There has been an increasing interest in enhancing the fairness of machi...
research
∙
05/17/2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation
EXplainable AI (XAI) is an essential topic to improve human understandin...
research
∙
05/05/2023
Is dataset condensation a silver bullet for healthcare data sharing?
Safeguarding personal information is paramount for healthcare data shari...
research
∙
05/04/2023
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process
As the popularity of large language models (LLMs) soars across various a...
research
∙
04/27/2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics
We propose a hybrid neural network (NN) and PDE approach for learning ge...
research
∙
04/02/2023
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System
Exploring data is crucial in data analysis, as it helps users understand...
research
∙
03/30/2023
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
Recently reported state-of-the-art results in visual speech recognition ...
research
∙
03/25/2023
Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Audio-visual speech recognition has received a lot of attention due to i...
research
∙
03/14/2023
Learning Cross-lingual Visual Speech Representations
Cross-lingual self-supervised learning has been a growing research topic...
research
∙
03/06/2023
On the Feasibility of Specialized Ability Extracting for Large Language Code Models
Recent progress in large language code models (LLCMs) has led to a drama...
research
∙
12/12/2022
Jointly Learning Visual and Auditory Speech Representations from Raw Data
We present RAVEn, a self-supervised multi-modal approach to jointly lear...
research
∙
11/03/2022
Streaming Audio-Visual Speech Recognition with Alignment Regularization
Recognizing a word shortly after it is spoken is an important requiremen...
research
∙
09/03/2022
Training Strategies for Improved Lip-reading
Several training strategies and temporal models have been recently propo...
research
∙
07/26/2022
XInsight: eXplainable Data Analysis Through The Lens of Causality
In light of the growing popularity of Exploratory Data Analysis (EDA), u...
research
∙
07/18/2022
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis
Debugging performance anomalies in real-world databases is challenging. ...
research
∙
05/11/2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
This work considers identifying parameters characterizing a physical sys...
research
∙
04/20/2022
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings
Neural program embeddings have demonstrated considerable promise in a ra...
research
∙
03/24/2022
Self-supervised Video-centralised Transformer for Video Face Clustering
This paper presents a novel method for face clustering in videos using a...
research
∙
02/26/2022
Visual Speech Recognition for Multiple Languages in the Wild
Visual speech recognition (VSR) aims to recognise the content of speech ...
research
∙
09/30/2021
Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation
The high dimensionality of soft mechanisms and the complex physics of fl...
research
∙
09/09/2021
Improving Deep Metric Learning by Divide and Conquer
Deep metric learning (DML) is a cornerstone of many computer vision appl...
research
∙
06/16/2021
LiRA: Learning Visual Speech Representations from Audio through Self-supervision
The large amount of audiovisual content being shared online today has dr...
research
∙
04/27/2021
End-to-End Video-To-Speech Synthesis using Generative Adversarial Networks
Video-to-speech is the process of reconstructing the audio speech from a...
research
∙
04/02/2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
The computational design of soft underwater swimmers is challenging beca...
research
∙
02/12/2021
End-to-end Audio-visual Speech Recognition with Conformers
In this work, we present a hybrid CTC/Attention model based on a ResNet-...
research
∙
02/07/2021
Separability Problems in Creative Telescoping
For given multivariate functions specified by algebraic, differential or...
research
∙
01/15/2021
DiffPD: Differentiable Projective Dynamics
We present a novel, fast differentiable simulator for soft-body learning...
research
∙
12/21/2020
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing
Text-to-SQL is a task to generate SQL queries from human utterances. How...
research
∙
09/29/2020
Lip-reading with Densely Connected Temporal Convolutional Networks
In this work, we present the Densely Connected Temporal Convolutional Ne...
research
∙
07/13/2020
Towards practical lipreading with distilled and efficient models
Lipreading has witnessed a lot of progress due to the resurgence of neur...
research
∙
06/29/2020
Efficient Continuous Pareto Exploration in Multi-Task Learning
Tasks in multi-task learning often correlate, conflict, or even compete ...
research
∙
03/18/2020
A Content Transformation Block For Image Style Transfer
Style transfer has recently received a lot of attention, since it allows...
research
∙
01/23/2020
Lipreading using Temporal Convolutional Networks
Lip-reading has attracted a lot of research attention lately thanks to a...
research
∙
01/13/2020
Visually Guided Self Supervised Learning of Speech Representations
Self supervised representation learning has recently attracted a lot of ...
research
∙
12/18/2019
Detecting Adversarial Attacks On Audio-Visual Speech Recognition
Adversarial attacks pose a threat to deep learning models. However, rese...
research
∙
11/26/2019
Learning Efficient Video Representation with Video Shuffle Networks
3D CNN shows its strong ability in learning spatiotemporal representatio...
research
∙
11/14/2019
Towards Pose-invariant Lip-Reading
Lip-reading models have been significantly improved recently thanks to p...
research
∙
06/14/2019
Video-Driven Speech Reconstruction using Generative Adversarial Networks
Speech is a means of communication which relies on both audio and visual...
research
∙
06/05/2019
Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition
Several audio-visual speech recognition models have been recently propos...
research
∙
04/02/2019
End-to-End Visual Speech Recognition for Small-Scale Datasets
Traditional visual speech recognition systems consist of two stages, fea...
research
∙
03/30/2019
Medical Imaging Device Security: An Exploratory Study
Recent years have witnessed a boom of connected medical devices, which b...
research
∙
02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
research
∙
09/28/2018
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture
Recent works in speech recognition rely either on connectionist temporal...
research
∙
02/18/2018
