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09/20/2023
Controllable Dynamic Appearance for Neural 3D Portraits
Recent advances in Neural Radiance Fields (NeRFs) have made it possible ...
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07/15/2023
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Class-agnostic counting (CAC) has numerous potential applications across...
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06/02/2023
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Denoising diffusion models have gained popularity as a generative modeli...
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04/25/2023
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
In this work, we present a multimodal solution to the problem of 4D face...
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04/11/2023
Computational Pathology: A Survey Review and The Way Forward
Computational Pathology (CoPath) is an interdisciplinary science that au...
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04/11/2023
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Two-stage object detectors generate object proposals and classify them t...
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03/30/2023
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
Neural rendering of implicit surfaces performs well in 3D vision applica...
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03/27/2023
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
Predicting human gaze is important in Human-Computer Interaction (HCI). ...
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03/16/2023
Predicting Human Attention using Computational Attention
Most models of visual attention are aimed at predicting either top-down ...
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03/03/2023
Zero-shot Object Counting
Class-agnostic object counting aims to count object instances of an arbi...
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12/29/2022
Local Learning on Transformers via Feature Reconstruction
Transformers are becoming increasingly popular due to their superior per...
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11/20/2022
Patch-level Gaze Distribution Prediction for Gaze Following
Gaze following aims to predict where a person is looking in a scene, by ...
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09/26/2022
Taking a Respite from Representation Learning for Molecular Property Prediction
Artificial intelligence (AI) has been widely applied in drug discovery w...
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07/17/2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
Histopathology whole slide images (WSIs) play a very important role in c...
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07/04/2022
Target-absent Human Attention
The prediction of human gaze behavior is important for building human-co...
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06/17/2022
Diffusion models as plug-and-play priors
We consider the problem of inferring high-dimensional data 𝐱 in a model ...
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06/03/2022
Learning Probabilistic Structural Representation for Biomedical Image Segmentation
Accurate segmentation of various fine-scale structures from biomedical i...
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02/17/2022
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
We study the attention of pathologists as they examine whole-slide image...
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11/23/2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Labels are costly and sometimes unreliable. Noisy label learning, semi-s...
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08/11/2021
SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
We present SIDER(Single-Image neural optimization for facial geometric D...
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08/10/2021
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
This paper presents a neural rendering method for controllable portrait ...
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07/29/2021
Temporal Feature Warping for Video Shadow Detection
While single image shadow detection has been improving rapidly in recent...
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06/09/2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial intelligence (AI) has been transforming the practice of drug ...
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03/25/2021
Hierarchical Proxy-based Loss for Deep Metric Learning
Proxy-based metric learning losses are superior to pair-based losses due...
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03/18/2021
Topology-Aware Segmentation Using Discrete Morse Theory
In the segmentation of fine-scale structures from natural and biomedical...
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12/23/2020
Physics-based Shadow Image Decomposition for Shadow Removal
We propose a novel deep learning method for shadow removal. Inspired by ...
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12/22/2020
Modeling Deep Learning Based Privacy Attacks on Physical Mail
Mail privacy protection aims to prevent unauthorized access to hidden co...
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12/14/2020
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
Facial Expressions induce a variety of high-level details on the 3D face...
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11/29/2020
Intrinsic Decomposition of Document Images In-the-Wild
Automatic document content processing is affected by artifacts caused by...
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10/07/2020
Variational Transfer Learning for Fine-grained Few-shot Visual Recognition
Fine-grained few-shot recognition often suffers from the problem of trai...
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10/07/2020
Learning Clusterable Visual Features for Zero-Shot Recognition
In zero-shot learning (ZSL), conditional generators have been widely use...
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09/28/2020
Distribution Matching for Crowd Counting
In crowd counting, each training image contains multiple people, where e...
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09/18/2020
Light Direction and Color Estimation from Single Image with Deep Regression
We present a method to estimate the direction and color of the scene lig...
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09/14/2020
A Study of Human Gaze Behavior During Visual Crowd Counting
In this paper, we describe our study on how humans allocate their attent...
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08/01/2020
From Shadow Segmentation to Shadow Removal
The requirement for paired shadow and shadow-free images limits the size...
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05/28/2020
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning
Being able to predict human gaze behavior has obvious importance for beh...
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03/26/2020
Towards Better Opioid Antagonists Using Deep Reinforcement Learning
Naloxone, an opioid antagonist, has been widely used to save lives from ...
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02/18/2020
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types
The distribution and appearance of nuclei are essential markers for the ...
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11/02/2019
Self-supervised Deformation Modeling for Facial Expression Editing
Recent advances in deep generative models have demonstrated impressive r...
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09/26/2019
Exascale Deep Learning to Accelerate Cancer Research
Deep learning, through the use of neural networks, has demonstrated rema...
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08/23/2019
Shadow Removal via Shadow Image Decomposition
We propose a novel deep learning method for shadow removal. Inspired by ...
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07/09/2019
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types
Deep learning classifiers for characterization of whole slide tissue mor...
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06/12/2019
Topology-Preserving Deep Image Segmentation
Segmentation algorithms are prone to make topological errors on fine-sca...
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05/26/2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
Quantitative assessment of Tumor-TIL spatial relationships is increasing...
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05/08/2019
Weakly Labeling the Antarctic: The Penguin Colony Case
Antarctic penguins are important ecological indicators -- especially in ...
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04/26/2019
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
In this work we introduce Lifting Autoencoders, a generative 3D surface-...
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04/09/2019
Label Super Resolution with Inter-Instance Loss
For the task of semantic segmentation, high-resolution (pixel-level) gro...
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09/16/2018
Latent Space Optimal Transport for Generative Models
Variational Auto-Encoders enforce their learned intermediate latent-spac...
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06/18/2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
In this work we introduce Deforming Autoencoders, a generative model for...
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12/13/2017