Search Results for author: Chetan Arora

Found 26 papers, 7 papers with code

Is Sharing of Egocentric Video Giving Away Your Biometric Signature?

no code implementations ECCV 2020 Daksh Thapar, Chetan Arora, Aditya Nigam

In this work, we create a novel kind of privacy attack by extracting the wearer’s gait profile, a well known biometric signature, from such optical flow in the egocentric videos.

Optical Flow Estimation

Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection

no code implementations12 Nov 2021 Ashutosh Agarwal, Anay Majee, Anbumani Subramanian, Chetan Arora

To overcome these pitfalls in metric learning based FSOD techniques, we introduce Attention Guided Cosine Margin (AGCM) that facilitates the creation of tighter and well separated class-specific feature clusters in the classification head of the object detector.

Few-Shot Object Detection Meta-Learning +1

Multi-Domain Incremental Learning for Semantic Segmentation

1 code implementation23 Oct 2021 Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar

Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model.

Incremental Learning Scene Segmentation

Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias

1 code implementation20 Oct 2021 Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora

Through a series of experiments, we validate that curating contextually fair data helps make model predictions fair by balancing the true positive rate for the protected class across groups without compromising on the model's overall performance.

Active Learning Multi-Label Image Classification +1

Anonymizing Egocentric Videos

no code implementations ICCV 2021 Daksh Thapar, Aditya Nigam, Chetan Arora

In a more damaging scenario, one can even recognize a wearer using hand gestures from egocentric videos, or identify a wearer in third person videos such as from a surveillance camera.

Activity Recognition Object Detection +1

Contextual Diversity for Active Learning

1 code implementation ECCV 2020 Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora

Contextual Diversity (CD) hinges on a crucial observation that the probability vector predicted by a CNN for a region of interest typically contains information from a larger receptive field.

Active Learning Image Classification +2

CovidAID: COVID-19 Detection Using Chest X-Ray

5 code implementations21 Apr 2020 Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora

This may be useful in an inpatient setting where the present systems are struggling to decide whether to keep the patient in the ward along with other patients or isolate them in COVID-19 areas.

Diversity in Fashion Recommendation using Semantic Parsing

1 code implementation18 Oct 2019 Sagar Verma, Sukhad Anand, Chetan Arora, Atul Rai

In this paper, we propose to recommend images by explicitly learning and exploiting part based similarity.

Semantic Parsing

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos

1 code implementation17 Oct 2019 Sagar Verma, Pravin Nagar, Divam Gupta, Chetan Arora

Unlike third person domain, researchers have divided first-person actions into two categories: involving hand-object interactions and the ones without, and developed separate techniques for the two action categories.

Action Recognition

U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool

no code implementations12 Jun 2018 Pulkit Kumar, Pravin Nagar, Chetan Arora, Anubha Gupta

Automated brain tissue segmentation into white matter (WM), gray matter (GM), and cerebro-spinal fluid (CSF) from magnetic resonance images (MRI) is helpful in the diagnosis of neuro-disorders such as epilepsy, Alzheimer's, multiple sclerosis, etc.

A Joint 3D-2D based Method for Free Space Detection on Roads

no code implementations6 Nov 2017 Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee

Finally, we use the obtained road segmentation with the 3D depth data from monocular SLAM to detect the free space for the navigation purposes.

Autonomous Driving General Classification +1

Robust Monocular SLAM for Egocentric Videos

no code implementations18 Jul 2017 Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee

The incremental nature of SOTA SLAM, in the presence of unreliable pose and 3D estimates in egocentric videos, with no opportunities for global loop closures, generates drifts and leads to the eventual failures of such techniques.

Simultaneous Localization and Mapping

Min Norm Point Algorithm for Higher Order MRF-MAP Inference

no code implementations CVPR 2016 Ishant Shanu, Chetan Arora, Parag Singla

Current state of the art inference algorithms for general submodular function takes many hours for problems with clique size 16, and fail to scale beyond.

First Person Action Recognition Using Deep Learned Descriptors

no code implementations CVPR 2016 Suriya Singh, Chetan Arora, C. V. Jawahar

It can also be trained from relatively small number of labeled egocentric videos that are available.

Action Recognition

EgoSampling: Wide View Hyperlapse from Egocentric Videos

no code implementations26 Apr 2016 Tavi Halperin, Yair Poleg, Chetan Arora, Shmuel Peleg

However, this accentuates the shake caused by natural head motion in an egocentric video, making the fast forwarded video useless.

Trajectory Aligned Features For First Person Action Recognition

no code implementations7 Apr 2016 Suriya Singh, Chetan Arora, C. V. Jawahar

Objects present in the scene and hand gestures of the wearer are the most important cues for first person action recognition but are difficult to segment and recognize in an egocentric video.

Action Recognition

Compact CNN for Indexing Egocentric Videos

no code implementations28 Apr 2015 Yair Poleg, Ariel Ephrat, Shmuel Peleg, Chetan Arora

Furthermore, our CNN is able to recognize whether a video is egocentric or not with 99. 2% accuracy, up by 24% from current state-of-the-art.

Activity Recognition Optical Flow Estimation

EgoSampling: Fast-Forward and Stereo for Egocentric Videos

no code implementations CVPR 2015 Yair Poleg, Tavi Halperin, Chetan Arora, Shmuel Peleg

While egocentric cameras like GoPro are gaining popularity, the videos they capture are long, boring, and difficult to watch from start to end.

Temporal Segmentation of Egocentric Videos

no code implementations CVPR 2014 Yair Poleg, Chetan Arora, Shmuel Peleg

Two sources of information for video segmentation are (i) the motion of the camera wearer, and (ii) the objects and activities recorded in the video.

Video Segmentation Video Semantic Segmentation

Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems

no code implementations CVPR 2014 Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari

Generic Cuts (GC) of Arora et al. [9] shows that when potentials are submodular, inference problems can be solved optimally in polynomial time for fixed size cliques.

Multi Label Generic Cuts: Optimal Inference in Multi Label Multi Clique MRF-MAP Problems

no code implementations CVPR 2014 Chetan Arora, S. N. Maheshwari

We exploit sparseness in the feasible configurations of the transformed 2-label problem to suggest an improvement to Generic Cuts [3] to solve the 2-label problems efficiently.

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