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08/28/2023
FIRE: Food Image to REcipe generation
Food computing has emerged as a prominent multidisciplinary field of res...
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06/16/2023
Wasserstein distributional robustness of neural networks
Deep neural networks are known to be vulnerable to adversarial attacks (...
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05/25/2023
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
Despite the significant progress in six degrees-of-freedom (6DoF) object...
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05/16/2023
The Weighted Möbius Score: A Unified Framework for Feature Attribution
Feature attribution aims to explain the reasoning behind a black-box mod...
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05/01/2023
In-Context Learning Unlocked for Diffusion Models
We present Prompt Diffusion, a framework for enabling in-context learnin...
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04/26/2023
Transferring Procedural Knowledge across Commonsense Tasks
Stories about everyday situations are an essential part of human communi...
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04/25/2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Diffusion models are powerful, but they require a lot of time and data t...
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03/30/2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Image editing using diffusion models has witnessed extremely fast-paced ...
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02/26/2023
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition
Recently, skeleton-based human action has become a hot research topic be...
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01/24/2023
Sequential propagation of chaos
A new class of particle systems with sequential interaction is proposed ...
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11/29/2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Virtual reality and augmented reality (XR) bring increasing demand for 3...
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11/17/2022
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
Neural Radiance Fields (NeRFs) are a powerful representation for modelin...
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10/17/2022
Signal Processing for Implicit Neural Representations
Implicit Neural Representations (INRs) encoding continuous multi-media d...
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10/10/2022
Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition
Graph convolutional networks (GCNs), which can model the human body skel...
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09/19/2022
NeRF-SOS: Any-View Self-supervised Object Segmentation from Complex Real-World Scenes
Neural volumetric representations have shown the potential that Multi-la...
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09/11/2022
Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis
To what extent do pre-trained language models grasp semantic knowledge r...
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04/05/2022
Unified Implicit Neural Stylization
Representing visual signals by implicit representation (e.g., a coordina...
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04/02/2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Despite the rapid development of Neural Radiance Field (NeRF), the neces...
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03/11/2022
TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley
In recent years, deep learning approaches have been proved good performa...
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01/02/2022
Fast and High-Quality Image Denoising via Malleable Convolutions
Many image processing networks apply a single set of static convolutiona...
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12/09/2021
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Efficient video architecture is the key to deploying video recognition s...
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11/19/2021
Action Recognition with Domain Invariant Features of Skeleton Image
Due to the fast processing-speed and robustness it can achieve, skeleton...
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08/15/2021
SSH: A Self-Supervised Framework for Image Harmonization
Image harmonization aims to improve the quality of image compositing by ...
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08/01/2021
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
Low-light images captured in the real world are inevitably corrupted by ...
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06/23/2021
IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers
The self-attention-based model, transformer, is recently becoming the le...
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04/22/2021
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
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04/08/2021
A Design Space Study for LISTA and Beyond
In recent years, great success has been witnessed in building problem-sp...
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02/14/2021
TransGAN: Two Transformers Can Make One Strong GAN
The recent explosive interest on transformers has suggested their potent...
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02/01/2021
Few-shot Learning for CT Scan based COVID-19 Diagnosis
Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of Inte...
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01/06/2021
Convergence of the Deep BSDE method for FBSDEs with non-Lipschitz coefficients
This paper is dedicated to solve high-dimensional coupled FBSDEs with no...
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07/29/2020
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...
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08/11/2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Neural architecture search (NAS) has witnessed prevailing success in ima...
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06/17/2019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
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04/05/2018
