Publications

Ayush Mangal*, Piyush Khanna, Puneet Mathur, Rajiv Ratn Shah, Ramit Sawhney, Roger Zimmermann (2020). Multimodal Multi-Task Financial Risk Forecasting. MM’20.

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Ayush Mangal*, Jitesh Jain*, Keerat Kaur Gullani*, Omkar Bhalero* (2020). DEAP Cache: Deep Eviction Admission and Prefetching for Cache. Under Review.

Preprint Code

Aditya Nagori, Arshita Bhatt, Keerat Kaur Guliani*, Mehrab Singh Gill, Ponnurangam Kumaraguru, Raghav Awasthi, Tavpritesh Sethi (2020). VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning. Under Review.

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Aditya Nagori, Akhil Jarodia, Amogh Gulati, Chandan Gupta, Harsh Bandhey, Keerat Kaur Guliani*, Mehrab Singh Gill, Ponnurangam Kumaraguru, Raghav Awasthi, Suryatej Reddy Vyalla, Tavpritesh Sethi, Vineet Joshi (2020). Less Wrong COVID-19 Projections With Interactive Assumptions. Under Review.

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Vipul Kumar, Ayush Mangal*, Aniket Agarwal (2020). Visual Relationship Detection using Scene Graphs: A Survey.

Preprint

Ashutosh Chaubey, Kavya Barnwal*, Keerat K. Guliani*, Nikhil Agrawal*, Pramod Mehta* (2020). Universal Adversarial Perturbations: A Survey.

Preprint

Aniket Agarwal, Arnab Kumar Mondal, Christain Desrosiers, Jose Dolz (2019). Revisiting CycleGAN for Semi-Supervised Segmentation. arXiv preprint, Submitted to WACV 2020.

Preprint Code

Ashutosh Chaubey, Balasubramanian Raman, Bhimavarapu Sasi Kiran Reddy, Jaynil Jaiswal, Partha Pratim Roy, Puneet Kumar, Shashank Kashyap (2019). A Generative Adversarial Network based Ensemble Technique for Automatic Evaluation of Machine Synthesized Speech. ACPR 2019.

Dakshit Agrawal, Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu (2019). GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. ICCV 2019.

Preprint Code Poster

Jose Dolz, Dakshit Agrawal, Aarush Gupta, Hardik Chauhan, Marco Pedersoli (2018). An Attention Model for Group Level Emotion Recognition. ICMI 2018.

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