Search Results for author: Georgia Gkioxari

Found 32 papers, 21 papers with code

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

1 code implementation26 Feb 2024 Sabera Talukder, Yisong Yue, Georgia Gkioxari

To this end, we explore the impact of discrete, learnt, time series data representations that enable generalist, cross-domain training.

Time Series Time Series Analysis

A Foundation Model for Cell Segmentation

no code implementations18 Nov 2023 Uriah Israel, Markus Marks, Rohit Dilip, Qilin Li, Morgan Schwartz, Elora Pradhan, Edward Pao, Shenyi Li, Alexander Pearson-Goulart, Pietro Perona, Georgia Gkioxari, Ross Barnowski, Yisong Yue, David Van Valen

Methods that have learned the general notion of "what is a cell" and can identify them across different domains of cellular imaging data have proven elusive.

Cell Segmentation Prompt Engineering +1

Multiview Compressive Coding for 3D Reconstruction

1 code implementation CVPR 2023 Chao-yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari

We introduce a simple framework that operates on 3D points of single objects or whole scenes coupled with category-agnostic large-scale training from diverse RGB-D videos.

3D Reconstruction Self-Supervised Learning +1

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos

1 code implementation CVPR 2023 Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona

In this way, we discover keypoints without requiring manual supervision in videos of humans and rats, demonstrating the potential of 3D keypoint discovery for studying behavior.

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

1 code implementation CVPR 2023 Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari

In 3D, existing benchmarks are small in size and approaches specialize in few object categories and specific domains, e. g. urban driving scenes.

3D Object Detection 3D Object Recognition +1

Learning 3D Object Shape and Layout without 3D Supervision

no code implementations CVPR 2022 Georgia Gkioxari, Nikhila Ravi, Justin Johnson

A 3D scene consists of a set of objects, each with a shape and a layout giving their position in space.

Object

Differentiable Stereopsis: Meshes from multiple views using differentiable rendering

1 code implementation CVPR 2022 Shubham Goel, Georgia Gkioxari, Jitendra Malik

We propose Differentiable Stereopsis, a multi-view stereo approach that reconstructs shape and texture from few input views and noisy cameras.

Compressed Object Detection

1 code implementation4 Feb 2021 Gedeon Muhawenayo, Georgia Gkioxari

With our approach, we are able to compress a state-of-the-art object detection model by 30. 0% without a loss in performance.

Model Compression Object +4

Accelerating 3D Deep Learning with PyTorch3D

3 code implementations16 Jul 2020 Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari

We address these challenges by introducing PyTorch3D, a library of modular, efficient, and differentiable operators for 3D deep learning.

Autonomous Vehicles

3D Shape Reconstruction from Vision and Touch

1 code implementation NeurIPS 2020 Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

When a toddler is presented a new toy, their instinctual behaviour is to pick it upand inspect it with their hand and eyes in tandem, clearly searching over its surface to properly understand what they are playing with.

3D Shape Reconstruction

SynSin: End-to-end View Synthesis from a Single Image

3 code implementations CVPR 2020 Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson

Single image view synthesis allows for the generation of new views of a scene given a single input image.

Novel View Synthesis Test

Bayesian Relational Memory for Semantic Visual Navigation

1 code implementation ICCV 2019 Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

We introduce a new memory architecture, Bayesian Relational Memory (BRM), to improve the generalization ability for semantic visual navigation agents in unseen environments, where an agent is given a semantic target to navigate towards.

Navigate Test +1

Mesh R-CNN

6 code implementations ICCV 2019 Georgia Gkioxari, Jitendra Malik, Justin Johnson

We propose a system that detects objects in real-world images and produces a triangle mesh giving the full 3D shape of each detected object.

3D Shape Modeling

Multi-Target Embodied Question Answering

1 code implementation CVPR 2019 Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra

To address this, we propose a modular architecture composed of a program generator, a controller, a navigator, and a VQA module.

Embodied Question Answering Navigate +1

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

no code implementations CVPR 2019 Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra

To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task -- Embodied Question Answering [1] in photo-realistic environments (Matterport 3D).

Embodied Question Answering Question Answering

Neural Modular Control for Embodied Question Answering

2 code implementations26 Oct 2018 Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

We use imitation learning to warm-start policies at each level of the hierarchy, dramatically increasing sample efficiency, followed by reinforcement learning.

Embodied Question Answering Imitation Learning +3

Learning and Planning with a Semantic Model

no code implementations ICLR 2019 Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian

Building deep reinforcement learning agents that can generalize and adapt to unseen environments remains a fundamental challenge for AI.

Visual Navigation

Building Generalizable Agents with a Realistic and Rich 3D Environment

5 code implementations ICLR 2018 Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian

To generalize to unseen environments, an agent needs to be robust to low-level variations (e. g. color, texture, object changes), and also high-level variations (e. g. layout changes of the environment).

Data Augmentation

Detect-and-Track: Efficient Pose Estimation in Videos

1 code implementation CVPR 2018 Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran

This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.

Ranked #8 on Pose Tracking on PoseTrack2017 (using extra training data)

Human Detection Keypoint Estimation +5

Data Distillation: Towards Omni-Supervised Learning

4 code implementations CVPR 2018 Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data.

Keypoint Detection object-detection +1

Embodied Question Answering

4 code implementations CVPR 2018 Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra

We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the car?").

Embodied Question Answering Navigate +3

Detecting and Recognizing Human-Object Interactions

2 code implementations CVPR 2018 Georgia Gkioxari, Ross Girshick, Piotr Dollár, Kaiming He

Our hypothesis is that the appearance of a person -- their pose, clothing, action -- is a powerful cue for localizing the objects they are interacting with.

Human-Object Interaction Detection Object

Mask R-CNN

171 code implementations ICCV 2017 Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

3D Instance Segmentation Human Part Segmentation +12

Chained Predictions Using Convolutional Neural Networks

no code implementations8 May 2016 Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly

In this model the output variables for a given input are predicted sequentially using neural networks.

Pose Estimation

Contextual Action Recognition with R*CNN

2 code implementations ICCV 2015 Georgia Gkioxari, Ross Girshick, Jitendra Malik

In this work, we exploit the simple observation that actions are accompanied by contextual cues to build a strong action recognition system.

Action Recognition Attribute +3

R-CNNs for Pose Estimation and Action Detection

no code implementations19 Jun 2014 Georgia Gkioxari, Bharath Hariharan, Ross Girshick, Jitendra Malik

We present convolutional neural networks for the tasks of keypoint (pose) prediction and action classification of people in unconstrained images.

Action Classification Action Detection +3

Using k-Poselets for Detecting People and Localizing Their Keypoints

no code implementations CVPR 2014 Georgia Gkioxari, Bharath Hariharan, Ross Girshick, Jitendra Malik

A k-poselet is a deformable part model (DPM) with k parts, where each of the parts is a poselet, aligned to a specific configuration of keypoints based on ground-truth annotations.

Human Detection

Articulated Pose Estimation Using Discriminative Armlet Classifiers

no code implementations CVPR 2013 Georgia Gkioxari, Pablo Arbelaez, Lubomir Bourdev, Jitendra Malik

We propose a novel approach for human pose estimation in real-world cluttered scenes, and focus on the challenging problem of predicting the pose of both arms for each person in the image.

Pose Estimation

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