Ankit Gandhi

According to our database, Ankit Gandhi authored at least 13 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures.

Hamed R. Bonab, Ashutosh Joshi, Ravi Bhatia, Ankit Gandhi, Vijay Huddar, Juhi Naik, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Vaclav Petricek

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC).

Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Ankith M. S, Aayush Moroney, Atul Saroop, Rahul Bhagat

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

CUPID: Curriculum Learning Based Real-Time Prediction using Distillation.

Arindam Bhattacharya, Ankith M. S, Ankit Gandhi, Vijay Huddar, Atul Saroop, Rahul Bhagat

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021

Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces.

Ankit Gandhi, Aakanksha, Sivaramakrishnan Kaveri, Vineet Chaoji

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2016

ViZig: Anchor Points based Non-Linear Navigation and Summarization in Educational Videos.

Kuldeep Yadav, Ankit Gandhi, Arijit Biswas, Kundan Shrivastava, Saurabh Srivastava, Om Deshmukh

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Easy Navigation through Instructional Videos using Automatically Generated Table of Content.

Ankit Gandhi, Arijit Biswas, Kundan Shrivastava, Ranjeet Kumar, Sahil Loomba, Om Deshmukh

Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos.

Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil, Om Deshmukh

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Weakly Supervised Learning of Heterogeneous Concepts in Videos.

Sohil Shah, Kuldeep Kulkarni, Arijit Biswas, Ankit Gandhi, Om Deshmukh, Larry S. Davis

Proceedings of the Computer Vision - ECCV 2016, 2016

GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion.

Ankit Gandhi, Arjun Sharma, Arijit Biswas, Om Deshmukh

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

MMToC: A Multimodal Method for Table of Content Creation in Educational Videos.

Arijit Biswas, Ankit Gandhi, Om Deshmukh

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Topic Transition in Educational Videos Using Visually Salient Words.

Ankit Gandhi, Arijit Biswas, Om Deshmukh

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2013

Detection of Cut-and-Paste in Document Images.

Ankit Gandhi, C. V. Jawahar

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Decomposing Bag of Words Histograms.

Ankit Gandhi, Karteek Alahari, C. V. Jawahar

Proceedings of the IEEE International Conference on Computer Vision, 2013