Search Results for author: Vibhav Vineet

Found 28 papers, 13 papers with code

Missingness Bias in Model Debugging

1 code implementation ICLR 2022 Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

Missingness, or the absence of features from an input, is a concept fundamental to many model debugging tools.

Image Retrieval from Contextual Descriptions

1 code implementation ACL 2022 Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Ponti, Siva Reddy

In particular, models are tasked with retrieving the correct image from a set of 10 minimally contrastive candidates based on a contextual description.

Image Retrieval

Inferring Articulated Rigid Body Dynamics from RGBD Video

1 code implementation20 Mar 2022 Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme

Being able to reproduce physical phenomena ranging from light interaction to contact mechanics, simulators are becoming increasingly useful in more and more application domains where real-world interaction or labeled data are difficult to obtain.

Robust Contrastive Learning against Noisy Views

1 code implementation CVPR 2022 Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song

Contrastive learning relies on an assumption that positive pairs contain related views, e. g., patches of an image or co-occurring multimodal signals of a video, that share certain underlying information about an instance.

Contrastive Learning

Learning to Align Sequential Actions in the Wild

no code implementations CVPR 2022 Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys

To this end, we propose an approach to enforce temporal priors on the optimal transport matrix, which leverages temporal consistency, while allowing for variations in the order of actions.

Representation Learning

3DB: A Framework for Debugging Computer Vision Models

1 code implementation7 Jun 2021 Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry

We introduce 3DB: an extendable, unified framework for testing and debugging vision models using photorealistic simulation.

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

1 code implementation9 Feb 2021 Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard Hartley

In this work, we introduce a Resource Aware Neuron Pruning (RANP) algorithm that prunes 3D CNNs at initialization to high sparsity levels.

3D Semantic Segmentation Stereo Matching +1

Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks

no code implementations21 Oct 2020 Ziqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla McMullen

The present work proposes a method to infer object geometry from scattering features by training convolutional neural networks.

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

1 code implementation6 Oct 2020 Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard Hartley

Specifically, the core idea is to obtain an importance score for each neuron based on their sensitivity to the loss function.

3D Semantic Segmentation Video Classification

Depth Completion Using a View-constrained Deep Prior

no code implementations21 Jan 2020 Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi

Given color images and noisy and incomplete target depth maps, we optimize a randomly-initialized CNN model to reconstruct a depth map restored by virtue of using the CNN network structure as a prior combined with a view-constrained photo-consistency loss.

Depth Completion Image Denoising

Fast acoustic scattering using convolutional neural networks

1 code implementation30 Oct 2019 Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi

Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation.

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

2 code implementations16 Sep 2019 Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor

We analyze the rich latent spaces learned with our proposed representations, and show that the use of our cross-modal architecture significantly improves control policy performance as compared to end-to-end learning or purely unsupervised feature extractors.

Drone navigation Imitation Learning

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds

1 code implementation15 Mar 2019 Ondrej Miksik, Vibhav Vineet

For each time step, our dynamic map maintains a relative pose of each volume with respect to the stationary background.

3D Reconstruction Pose Estimation

Photorealistic Image Synthesis for Object Instance Detection

no code implementations9 Feb 2019 Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter

We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images.

6D Pose Estimation 6D Pose Estimation using RGB +2

Playing for Data: Ground Truth from Computer Games

2 code implementations7 Aug 2016 Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun

Recent progress in computer vision has been driven by high-capacity models trained on large datasets.

Semantic Segmentation

Dense Semantic Image Segmentation with Objects and Attributes

no code implementations CVPR 2014 Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

The concepts of objects and attributes are both important for describing images precisely, since verbal descriptions often contain both adjectives and nouns (e. g. "I see a shiny red chair').

Semantic Segmentation

A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies

no code implementations25 Mar 2014 Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr

The algorithm converges to a local minimum for any general pairwise potential, and we give a theoretical analysis of the properties of the algorithm, characterizing the situations in which we can expect good performance.

Image Denoising Image Stitching +1

Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation

no code implementations NeurIPS 2013 Vibhav Vineet, Carsten Rother, Philip Torr

Many methods have been proposed to recover the intrinsic scene properties such as shape, reflectance and illumination from a single image.

ImageSpirit: Verbal Guided Image Parsing

no code implementations16 Oct 2013 Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel Crook, Niloy Mitra, Philip Torr

This allows us to formulate the image parsing problem as one of jointly estimating per-pixel object and attribute labels from a set of training images.

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