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09/05/2023
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Signed graphs are well-suited for modeling social networks as they captu...
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07/30/2023
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Modeling and predicting the performance of students in collaborative lea...
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06/07/2023
Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal
One key communication block in 5G and 6G radios is the active phased arr...
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06/01/2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Text-to-image diffusion models can create stunning images from natural l...
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05/26/2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Attention-based vision models, such as Vision Transformer (ViT) and its ...
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03/02/2023
3D generation on ImageNet
Existing 3D-from-2D generators are typically designed for well-curated s...
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02/18/2023
Invertible Neural Skinning
Building animatable and editable models of clothed humans from raw 3D sc...
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01/26/2023
Unsupervised Volumetric Animation
We propose a novel approach for unsupervised 3D animation of non-rigid d...
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12/15/2022
Rethinking Vision Transformers for MobileNet Size and Speed
With the success of Vision Transformers (ViTs) in computer vision tasks,...
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12/15/2022
Real-Time Neural Light Field on Mobile Devices
Recent efforts in Neural Rendering Fields (NeRF) have shown impressive r...
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12/08/2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Recent works on diffusion models have demonstrated a strong capability f...
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11/23/2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
There has been a recent explosion of impressive generative models that c...
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09/22/2022
Layer Freezing Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Recently, sparse training has emerged as a promising paradigm for effici...
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09/18/2022
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
Processing-in-memory (PIM), an increasingly studied neuromorphic hardwar...
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07/25/2022
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Existing self-supervised monocular depth estimation methods can get rid ...
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07/24/2022
Cross-Modal 3D Shape Generation and Manipulation
Creating and editing the shape and color of 3D objects require tremendou...
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06/16/2022
Adversarial Robustness of Graph-based Anomaly Detection
Graph-based anomaly detection is becoming prevalent due to the powerful ...
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06/15/2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Diffusion probabilistic models (DPMs) have become a popular approach to ...
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06/02/2022
EfficientFormer: Vision Transformers at MobileNet Speed
Vision Transformers (ViT) have shown rapid progress in computer vision t...
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04/12/2022
Are Multimodal Transformers Robust to Missing Modality?
Multimodal data collected from the real world are often imperfect due to...
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03/31/2022
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the enco...
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03/04/2022
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
Most methods for conditional video synthesis use a single modality as th...
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02/10/2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Neural network quantization is a promising compression technique to redu...
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01/15/2022
A Critical Analysis of Image-based Camera Pose Estimation Techniques
Camera, and associated with its objects within the field of view, locali...
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06/18/2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Graph-based Anomaly Detection (GAD) is becoming prevalent due to the pow...
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06/14/2021
Flow Guided Transformable Bottleneck Networks for Motion Retargeting
Human motion retargeting aims to transfer the motion of one person in a ...
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04/30/2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Image and video synthesis are closely related areas aiming at generating...
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04/22/2021
Motion Representations for Articulated Animation
We propose novel motion representations for animating articulated object...
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03/09/2021
SMIL: Multimodal Learning with Severely Missing Modality
A common assumption in multimodal learning is the completeness of traini...
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03/05/2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Generative Adversarial Networks (GANs) have achieved huge success in gen...
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02/19/2021
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
In deep model compression, the recent finding "Lottery Ticket Hypothesis...
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04/28/2020
Neural Hair Rendering
In this paper, we propose a generic neural-based hair rendering pipeline...
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04/07/2020
Human Motion Transfer from Poses in the Wild
In this paper, we tackle the problem of human motion transfer, where we ...
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02/18/2020
Identifying stochastic governing equations from data of the most probable transition trajectories
Extracting the governing stochastic differential equation model from elu...
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04/25/2019
Bitcoin and Blockchain: Security and Privacy
A cryptocurrency is a decentralized digital currency that is designed fo...
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04/25/2019
d-MABE: Distributed Multilevel Attribute-Based EMR Management and Applications
Current systems used by medical institutions for the management and tran...
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09/12/2018
Security and Privacy Enhancement for Outsourced Biometric Identification
A lot of research has been focused on secure outsourcing of biometric id...
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06/05/2018
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching
Designing the structure of neural networks is considered one of the most...
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06/04/2018
Factorized Adversarial Networks for Unsupervised Domain Adaptation
In this paper, we propose Factorized Adversarial Networks (FAN) to solve...
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06/04/2018
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
Automatic and accurate Gleason grading of histopathology tissue slides i...
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01/08/2018
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing
Cloud computing has changed the way enterprises store, access and share ...
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11/14/2017
