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06/29/2023
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Foundation models have exhibited remarkable success in various applicati...
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06/23/2023
3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation
Despite that the segment anything model (SAM) achieved impressive result...
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03/21/2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method ...
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09/07/2022
Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition
Skeleton-based human action recognition is a longstanding challenge due ...
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08/08/2022
Fuzzing Microservices In Industry: Experience of Applying EvoMaster at Meituan
With several microservice architectures comprising of thousands of web s...
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06/20/2022
C^*-algebra Net: A New Approach Generalizing Neural Network Parameters to C^*-algebra
We propose a new framework that generalizes the parameters of neural net...
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04/25/2022
Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives
Reasoning about causal and temporal event relations in videos is a new d...
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04/07/2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Supervised federated learning (FL) enables multiple clients to share the...
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03/14/2022
Distributed On-Sensor Compute System for AR/VR Devices: A Semi-Analytical Simulation Framework for Power Estimation
Augmented Reality/Virtual Reality (AR/VR) glasses are widely foreseen as...
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03/11/2022
Deep Learning for Wireless Dynamics
This paper aims to predict radio channel variations over time by deep le...
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12/17/2021
Self-attention based anchor proposal for skeleton-based action recognition
Skeleton sequences are widely used for action recognition task due to it...
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10/03/2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Recent work has raised concerns on the risk of spurious correlations and...
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08/24/2021
METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators
Tiled spatial architectures have proved to be an effective solution to b...
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07/01/2021
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
The visual signal compression is a long-standing problem. Fueled by the ...
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06/03/2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba
Conceptual graphs, which is a particular type of Knowledge Graphs, play ...
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04/15/2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent
By leveraging deep learning based technologies, the data-driven based ap...
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04/08/2021
Multi-Density Attention Network for Loop Filtering in Video Compression
Video compression is a basic requirement for consumer and professional v...
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03/04/2021
A Cross Channel Context Model for Latents in Deep Image Compression
This paper presents a cross channel context model for latents in deep im...
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12/18/2020
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
Spurious correlations threaten the validity of statistical classifiers. ...
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10/06/2020
Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging
Public entities such as companies and politicians increasingly use onlin...
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10/06/2020
Identifying Spurious Correlations for Robust Text Classification
The predictions of text classifiers are often driven by spurious correla...
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09/15/2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global...
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12/30/2019
Neural Architecture Search on Acoustic Scene Classification
Convolutional neural networks are widely adopted in Acoustic Scene Class...
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05/21/2019
Personality and Behavior in Role-based Online Games
Both offline and online human behaviors are affected by personality. Of ...
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11/12/2018
When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation
Studies across many disciplines have shown that lexical choice can affec...
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11/12/2018