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Addepalli, S and Jain, S and Sriramanan, G and Venkatesh Babu, R (2022) Scaling Adversarial Training to Large Perturbation Bounds. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 27 October 2022, Tel Aviv, pp. 301-316.
Rangwani, H and Aithal, SK and Mishra, M and Venkatesh Babu, R (2022) Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, 28 - 9 December 2022, New Orleans.
Vinod, V and Ram Prabhakar, K and Venkatesh Babu, R and Chakraborty, A (2021) Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. In: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, 11-17 Oct 2021, Virtual, Online, pp. 1571-1582.
Kundu, JN and Rakesh, M and Jampani, V and Venkatesh, RM and Venkatesh Babu, R (2020) Appearance Consensus Driven Self-supervised Human Mesh Recovery. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23 - 28 August 2020, Glasgow, pp. 794-812.
Kumar Nayak, G and Jain, S and Venkatesh Babu, R and Chakraborty, A (2020) Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. In: 6th IEEE International Conference on Multimedia Big Data, BigMM 2020, 24 - 26 September 2020, New Delhi, pp. 267-271.
Kundu, JN and Seth, S and Jampani, V and Rakesh, M and Venkatesh Babu, R and Chakraborty, A (2020) Self-supervised 3D human pose estimation via part guided novel image synthesis. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14 - 19 June 2020, Virtual, Online, pp. 6151-6161.
Addepalli, S and Vivek, BS and Baburaj, A and Sriramanan, G and Venkatesh Babu, R (2020) Towards Achieving Adversarial Robustness by Enforcing Feature Consistency across Bit Planes. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14-19 JUne 2020, Virtual, Online, pp. 1017-1026.
Nath Kundu, J and Venkat, N and Rahul, MV and Venkatesh Babu, R (2020) Universal Source-Free Domain Adaptation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 14 - 19 June 2020, Virtual, Online, pp. 4543-4552.
Sam, DB and Vishwanath Peri, S and Mukuntha, NS and Venkatesh Babu, R (2020) Going beyond the regression paradigm with accurate dot prediction for dense crowds. In: 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, 1-5 March 2020, Snowmass Village; United States, pp. 2853-2861.
Sriramanan, G and Addepalli, S and Baburaj, A and Venkatesh Babu, R (2020) Guided adversarial attack for evaluating and enhancing adversarial defenses. In: 34th Conference on Neural Information Processing Systems, NeurIPS 2020, 6-12, December, 2020, Virtual, Online.
Sam, DB and Sajjan, NN and Maurya, H and Venkatesh Babu, R (2019) Almost unsupervised learning for dense crowd counting. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, 27 January 2019through 1 February 2019, Honolulu, pp. 8868-8875.
Nayak, GK and Mopuri, KR and Shaj, V and Venkatesh Babu, R and Chakraborty, A (2019) Zero-shot knowledge distillation in deep networks. In: 36th International Conference on Machine Learning, ICML 2019, 9 -15 June 2019, Long Beach; United States, pp. 8317-8325.
Kundu, JN and Gor, M and Venkatesh Babu, R (2019) BiHMP-GAN: Bidirectional 3D human motion prediction GAN. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019, 27 January - 1 February 2019, Honolulu, pp. 8553-8560.
Navaneet, KL and Mandikal, P and Agarwal, M and Venkatesh Babu, R (2019) CAPNet: Continuous approximation projection for 3D point cloud reconstruction using 2D supervision. In: 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, 27 January - 1 February 2019, Hilton Hawaii VillageHonolulu; United States, pp. 8819-8826.
Kundu, JN and Ganeshan, A and Rahul, MV and Prakash, A and Venkatesh Babu, R (2018) ISPA-Net: Iterative semantic pose alignment network. In: 26th ACM Multimedia conference, MM 2018, 22 - 26 October 2018, Seoul, pp. 967-975.
Sarvadevabhatla, RK and Surya, S and Mittal, T and Venkatesh Babu, R (2018) Game of sketches: Deep recurrent models of pictionary-style word guessing. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 7331-7338.
Babu Sam, D and Venkatesh Babu, R (2018) Top-down feedback for crowd counting convolutional neural network. In: 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, 2 - 7 February 2018, New Orleans, pp. 7323-7330.
Sarvadevabhatla, Ravi Kiran and Dwivedi, Isht and Biswas, Abhijat and Manocha, Sahil and Venkatesh Babu, R (2017) SketchParse: Towards rich descriptions for poorly drawn sketches using multi-task hierarchical deep networks. In: 25th ACM International Conference on Multimedia, MM 2017, 23 - 27 October 2017, Mountain View, pp. 10-18.
Sarvadevabhatla, Ravi Kiran and Venkatraman, Shanthakumar and Venkatesh Babu, R (2017) ‘Part’ly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems. In: 13th Asian Conference on Computer Vision, ACCV 2016, November 20-24, 2016, Taipei, Taiwan, pp. 181-197.
Mopuri, KR and Garg, U and Venkatesh Babu, R (2017) Fast feature fool: A data independent approach to universal adversarial perturbations. In: 28th British Machine Vision Conference, BMVC 2017, 4-7 September 2017, London; United Kingdom.
Majumder, A and Venkatesh Babu, R (2018) Deep neural network for foreground object segmentation: An unsupervised approach. In: 6th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2017, 16 - 19 December 2017, Mandi, pp. 360-371.
Navaneet, KL and Sarvadevabhatla, RK and Shekhar, S and Venkatesh Babu, R and Chakraborty, A (2020) Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. In: IEEE Transactions on Information Forensics and Security, 15 . pp. 2375-2385.
