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09/19/2023
Sound Source Localization is All about Cross-Modal Alignment
Humans can easily perceive the direction of sound sources in a visual sc...
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09/18/2023
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination
Most deep anomaly detection models are based on learning normality from ...
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08/14/2023
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
Recent work on dense optical flow has shown significant progress, primar...
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08/02/2023
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective
We live in a vast ocean of data, and deep neural networks are no excepti...
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07/27/2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
Recent label mix-based augmentation methods have shown their effectivene...
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05/26/2023
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis
Recently, zero-shot TTS and VC methods have gained attention due to thei...
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03/30/2023
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
How does audio describe the world around us? In this paper, we propose a...
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03/30/2023
Prefix tuning for automated audio captioning
Audio captioning aims to generate text descriptions from environmental s...
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03/28/2023
Unsupervised Pre-Training For Data-Efficient Text-to-Speech On Low Resource Languages
Neural text-to-speech (TTS) models can synthesize natural human speech w...
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02/20/2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
We address a weakly-supervised low-shot instance segmentation, an annota...
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02/01/2023
Computational Discovery of Microstructured Composites with Optimal Strength-Toughness Trade-Offs
The conflict between strength and toughness is a fundamental problem in ...
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01/26/2023
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
We present a novel data-efficient semi-supervised framework to improve t...
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10/16/2022
Scratching Visual Transformer's Back with Uniform Attention
The favorable performance of Vision Transformers (ViTs) is often attribu...
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08/14/2022
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
We propose high dynamic range (HDR) radiance fields, HDR-Plenoxels, that...
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07/27/2022
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
Transformer encoder architectures have recently achieved state-of-the-ar...
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06/09/2022
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes
We propose CLIP-Actor, a text-driven motion recommendation and neural me...
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02/12/2022
Audio-Visual Fusion Layers for Event Type Aware Video Recognition
Human brain is continuously inundated with the multisensory information ...
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11/03/2021
Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise
We propose an end-to-end unified 3D mesh recovery of humans and quadrupe...
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10/02/2021
FICGAN: Facial Identity Controllable GAN for De-identification
In this work, we present Facial Identity Controllable GAN (FICGAN) for n...
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08/13/2021
FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning
To overcome the burdens on frequent model uploads and downloads during f...
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10/08/2020
Dense Relational Image Captioning via Multi-task Triple-Stream Networks
We introduce dense relational captioning, a novel image captioning task ...
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08/24/2020
Monocular Reconstruction of Neural Face Reflectance Fields
The reflectance field of a face describes the reflectance properties res...
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03/18/2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Existing unsupervised domain adaptation methods aim to transfer knowledg...
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12/10/2019
Listen to Look: Action Recognition by Previewing Audio
In the face of the video data deluge, today's expensive clip-level class...
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11/20/2019
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
Visual events are usually accompanied by sounds in our daily lives. Howe...
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09/16/2019
Visuomotor Understanding for Representation Learning of Driving Scenes
Dashboard cameras capture a tremendous amount of driving scene video eac...
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09/05/2019
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
Constructing an organized dataset comprised of a large number of images ...
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05/23/2019
Speech2Face: Learning the Face Behind a Voice
How much can we infer about a person's looks from the way they speak? In...
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04/17/2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
In daily life, graphic symbols, such as traffic signs and brand logos, a...
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03/14/2019
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Our goal in this work is to train an image captioning model that generat...
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02/07/2019
Neural Inverse Knitting: From Images to Manufacturing Instructions
Motivated by the recent potential of mass customization brought by whole...
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11/27/2018
Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion
In this paper, we present a multi-modal online person verification syste...
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05/15/2018
On Learning Associations of Faces and Voices
In this paper, we study the associations between human faces and voices....
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04/08/2018
Learning-based Video Motion Magnification
Video motion magnification techniques allow us to see small motions prev...
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03/10/2018
Learning to Localize Sound Source in Visual Scenes
Visual events are usually accompanied by sounds in our daily lives. We p...
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02/14/2018
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Human behavior understanding is arguably one of the most important mid-l...
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12/05/2017
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition
Recent advances in visual recognition show overarching success by virtue...
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08/24/2017
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms
We introduce a novel method to automatically adjust camera exposure for ...
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08/09/2017
Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning
Cinemagraphs are a compelling way to convey dynamic aspects of a scene. ...
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08/09/2017
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
This paper proposes a weakly- and self-supervised deep convolutional neu...
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02/06/2017
Textually Customized Video Summaries
The best summary of a long video differs among different people due to i...
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01/12/2016
Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach
Photo collections and its applications today attempt to reflect user int...
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12/07/2015
Pseudo-Bayesian Robust PCA: Algorithms and Analyses
Commonly used in computer vision and other applications, robust PCA repr...
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09/01/2015
Fast Randomized Singular Value Thresholding for Low-rank Optimization
Rank minimization can be converted into tractable surrogate problems, su...
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03/04/2015
