Search Results for author: Manohar Paluri

Found 23 papers, 10 papers with code

Billion-scale semi-supervised learning for image classification

2 code implementations2 May 2019 I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan

This paper presents a study of semi-supervised learning with large convolutional networks.

Ranked #85 on Image Classification on ImageNet (using extra training data)

Classification General Classification +2

Large Scale Holistic Video Understanding

1 code implementation ECCV 2020 Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jurgen Gall, Rainer Stiefelhagen, Luc van Gool

HVU is organized hierarchically in a semantic taxonomy that focuses on multi-label and multi-task video understanding as a comprehensive problem that encompasses the recognition of multiple semantic aspects in the dynamic scene.

Action Classification Action Recognition +5

Exploring the Challenges towards Lifelong Fact Learning

no code implementations26 Dec 2018 Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars

So far life-long learning (LLL) has been studied in relatively small-scale and relatively artificial setups.

Large-Scale Visual Relationship Understanding

2 code implementations27 Apr 2018 Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny

Large scale visual understanding is challenging, as it requires a model to handle the widely-spread and imbalanced distribution of <subject, relation, object> triples.

ConvNet Architecture Search for Spatiotemporal Feature Learning

no code implementations16 Aug 2017 Du Tran, Jamie Ray, Zheng Shou, Shih-Fu Chang, Manohar Paluri

Learning image representations with ConvNets by pre-training on ImageNet has proven useful across many visual understanding tasks including object detection, semantic segmentation, and image captioning.

Action Classification Action Recognition +4

Pose-Aware Person Recognition

no code implementations CVPR 2017 Vijay Kumar, Anoop Namboodiri, Manohar Paluri, C. V. Jawahar

Person recognition methods that use multiple body regions have shown significant improvements over traditional face-based recognition.

Person Recognition

VideoMCC: a New Benchmark for Video Comprehension

no code implementations23 Jun 2016 Du Tran, Maksim Bolonkin, Manohar Paluri, Lorenzo Torresani

Language has been exploited to sidestep the problem of defining video categories, by formulating video understanding as the task of captioning or description.

Video Description Video Understanding

Deep End2End Voxel2Voxel Prediction

no code implementations20 Nov 2015 Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

Over the last few years deep learning methods have emerged as one of the most prominent approaches for video analysis.

Neural Architecture Search Optical Flow Estimation +3

Metric Learning with Adaptive Density Discrimination

2 code implementations18 Nov 2015 Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev

Beyond classification, we further validate the saliency of the learnt representations via their attribute concentration and hierarchy recovery properties, achieving 10-25% relative gains on the softmax classifier and 25-50% on triplet loss in these tasks.

Classification Fine-Grained Visual Recognition +2

Unsupervised Learning of Edges

no code implementations CVPR 2016 Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár

In this work we present a simple yet effective approach for training edge detectors without human supervision.

Edge Detection Motion Estimation +1

Improving Image Classification with Location Context

no code implementations ICCV 2015 Kevin Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir Bourdev

With the widespread availability of cellphones and cameras that have GPS capabilities, it is common for images being uploaded to the Internet today to have GPS coordinates associated with them.

Classification General Classification +1

Learning Spatiotemporal Features with 3D Convolutional Networks

15 code implementations ICCV 2015 Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri

We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised video dataset.

Action Recognition Action Recognition In Videos

Training Convolutional Networks with Noisy Labels

no code implementations9 Jun 2014 Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri, Lubomir Bourdev, Rob Fergus

The availability of large labeled datasets has allowed Convolutional Network models to achieve impressive recognition results.

General Classification

PANDA: Pose Aligned Networks for Deep Attribute Modeling

1 code implementation CVPR 2014 Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev

We propose a method for inferring human attributes (such as gender, hair style, clothes style, expression, action) from images of people under large variation of viewpoint, pose, appearance, articulation and occlusion.

General Classification Object Recognition

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