b'Serena Yeung'

research

∙ 09/14/2023

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models

Text-to-image diffusion models understand spatial relationship between o...

0 James Burgess, et al. ∙

research

∙ 09/13/2023

Generalizable Neural Fields as Partially Observed Neural Processes

Neural fields, which represent signals as a function parameterized by a ...

0 Jeffrey Gu, et al. ∙

research

∙ 06/15/2023

LOVM: Language-Only Vision Model Selection

Pre-trained multi-modal vision-language models (VLMs) are becoming incre...

0 Orr Zohar, et al. ∙

research

∙ 05/27/2023

Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models

Language models have been shown to exhibit positive scaling, where perfo...

0 Yuhui Zhang, et al. ∙

research

∙ 05/25/2023

ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image

Recent advancements in text-to-image generation have enabled significant...

0 Zhenzhen Weng, et al. ∙

research

∙ 05/11/2023

Hyperbolic Deep Learning in Computer Vision: A Survey

Deep representation learning is a ubiquitous part of modern computer vis...

0 Pascal Mettes, et al. ∙

research

∙ 04/02/2023

Video Pretraining Advances 3D Deep Learning on Chest CT Tasks

Pretraining on large natural image classification datasets such as Image...

0 Alexander Ke, et al. ∙

research

∙ 03/16/2023

Diffusion-HPC: Generating Synthetic Images with Realistic Humans

Recent text-to-image generative models have exhibited remarkable abiliti...

0 Zhenzhen Weng, et al. ∙

research

∙ 02/08/2023

Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation

Given the prevalence of 3D medical imaging technologies such as MRI and ...

0 Yuhui Zhang, et al. ∙

research

∙ 02/08/2023

Diagnosing and Rectifying Vision Models using Language

Recent multi-modal contrastive learning models have demonstrated the abi...

0 Yuhui Zhang, et al. ∙

research

∙ 12/28/2022

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action

The task of reconstructing 3D human motion has wideranging applications....

0 Kuan-Chieh Wang, et al. ∙

research

∙ 12/02/2022

PROB: Probabilistic Objectness for Open World Object Detection

Open World Object Detection (OWOD) is a new and challenging computer vis...

0 Orr Zohar, et al. ∙

research

∙ 07/20/2022

DataPerf: Benchmarks for Data-Centric AI Development

Machine learning (ML) research has generally focused on models, while th...

17 Mark Mazumder, et al. ∙

research

∙ 07/07/2022

Adaptation of Surgical Activity Recognition Models Across Operating Rooms

Automatic surgical activity recognition enables more intelligent surgica...

15 Ali Mottaghi, et al. ∙

research

∙ 06/21/2022

Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery

The ability to perceive 3D human bodies from a single image has a multit...

0 Zhenzhen Weng, et al. ∙

research

∙ 03/03/2022

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

We present modality gap, an intriguing geometric phenomenon of the repre...

15 Weixin Liang, et al. ∙

research

∙ 12/14/2021

A real-time spatiotemporal AI model analyzes skill in open surgical videos

Open procedures represent the dominant form of surgery worldwide. Artifi...

0 Emmett D. Goodman, et al. ∙

research

∙ 11/20/2021

FlowVOS: Weakly-Supervised Visual Warping for Detail-Preserving and Temporally Consistent Single-Shot Video Object Segmentation

We consider the task of semi-supervised video object segmentation (VOS)....

12 Julia Gong, et al. ∙

research

∙ 07/08/2021

Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning

Creating representations of shapes that are invari-ant to isometric or a...

0 Jeffrey Gu, et al. ∙

research

∙ 04/03/2021

DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

In the biomedical domain, there is an abundance of dense, complex data w...

0 Joy Hsu, et al. ∙

research

∙ 04/02/2021

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Instance segmentation is an active topic in computer vision that is usua...

3 Zhenzhen Weng, et al. ∙

research

∙ 12/15/2020

Personalized Federated Learning with First Order Model Optimization

While federated learning traditionally aims to train a single global mod...

17 Michael Zhang, et al. ∙

research

∙ 12/13/2020

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Open, or non-laparoscopic surgery, represents the vast majority of all o...

6 Michael Zhang, et al. ∙

research

∙ 12/03/2020

Learning Hyperbolic Representations for Unsupervised 3D Segmentation

There exists a need for unsupervised 3D segmentation on complex volumetr...

0 Joy Hsu, et al. ∙

research

∙ 12/02/2020

Holistic 3D Human and Scene Mesh Estimation from Single View Images

The 3D world limits the human body pose and the human body pose conveys ...

0 Zhenzhen Weng, et al. ∙

research

∙ 11/12/2020

Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions

We study the problem of medical symptoms recognition from patient text, ...

29 Ali Mottaghi, et al. ∙

research

∙ 02/23/2020

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data

In mobile health (mHealth), reinforcement learning algorithms that adapt...

11 Sabina Tomkins, et al. ∙

research

∙ 12/20/2019

Adversarial Representation Active Learning

Active learning aims to develop label-efficient algorithms by querying t...

44 Ali Mottaghi, et al. ∙

research

∙ 11/25/2018

Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

Homomorphic encryption enables arbitrary computation over data while it ...

0 Edward Chou, et al. ∙

research

∙ 02/24/2018

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Five billion people in the world lack access to quality surgical care. S...

0 Amy Jin, et al. ∙

research

∙ 08/01/2017

Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance

One in twenty-five patients admitted to a hospital will suffer from a ho...

0 Albert Haque, et al. ∙

research

∙ 06/09/2017

Learning to Learn from Noisy Web Videos

Understanding the simultaneously very diverse and intricately fine-grain...

0 Serena Yeung, et al. ∙

research

∙ 03/23/2016

Towards Viewpoint Invariant 3D Human Pose Estimation

We propose a viewpoint invariant model for 3D human pose estimation from...

0 Albert Haque, et al. ∙

research

∙ 11/22/2015

End-to-end Learning of Action Detection from Frame Glimpses in Videos

In this work we introduce a fully end-to-end approach for action detecti...

0 Serena Yeung, et al. ∙

research

∙ 07/21/2015

Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

Every moment counts in action recognition. A comprehensive understanding...

0 Serena Yeung, et al. ∙

research

∙ 06/23/2014

VideoSET: Video Summary Evaluation through Text

In this paper we present VideoSET, a method for Video Summary Evaluation...

0 Serena Yeung, et al. ∙

Serena Yeung

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