Publications

✱Jitesh Jain, ✱Yuqian Zhou, Ning Yu, Humphrey Shi (2022). Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. WACV’23.

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Divyam Goel, Raksha Sharma (2022). Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks. SocialNLP @ NAACL 2022.

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Divyam Goel, Kunal Pratap Singh, Jonghyun Choi (2022). Language Guided Meta-Control for Embodied Instruction Following. Workshop CVPR’22.

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Divyam Goel, Ramansh Grover, Fatemeh H Fard (2022). On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules. ICPC’22.

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Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny (2022). RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition. CVPR’22.

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Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi (2021). SeMask: Semantically Masked Transformers for Semantic Segmentation. Under Review.

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Aniket Agarwal, Sherif Abdelkarim*, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny (2021). Exploring Long tail Visual Relationship Recognition with Large Vocabulary. ICCV21.

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Ramit Sawhney, Puneet Mathur, Ayush Mangal*, Piyush Khanna, Rajiv Ratn Shah, 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.

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

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

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

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

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

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

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

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

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