Browse by IISc Authors

Conference Paper

Kundu, Jogendra Nath and Uppala, Phani Krishna and Pahuja, Anuj and Babu, R Venkatesh (2018) AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 2656-2665.

Sam, Deepak Babu and Sajjan, Neeraj N and Babu, R Venkatesh and Srinivasan, Mukundhan (2018) Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 3618-3626.

Mopuri, Konda Reddy and Ojha, Utkarsh and Garg, Utsav and Babu, R Venkatesh (2018) NAG: Network for Adversary Generation. In: 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), JUN 18-23, 2018, Salt Lake City, UT, pp. 742-751.

Prabhakar, K Ram and Srikar, V Sai and Babu, R Venkatesh (2017) DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs. In: 16th IEEE International Conference on Computer Vision, ICCV 2017, 22 - 29 October 2017, Venice, pp. 4724-4732.

Srinivas, Suraj and Subramanya, Akshayvarun and Babu, R Venkatesh (2017) Training Sparse Neural Networks. In: 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, 21-26 July 2017, Honolulu, pp. 455-462.

Divakar, Nithish and Babu, R Venkatesh (2017) Image Denoising via CNNs: An Adversarial Approach. In: 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017, 21 - 26 July 2017, Honolulu, pp. 1076-1083.

Journal Article

Sarvadevabhatla, Ravi Kiran and Surya, Shiv and Mittal, Trisha and Babu, R Venkatesh (2020) Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 42 (1). pp. 221-231.

Mopuri, Konda Reddy and Ganeshan, Aditya and Babu, R Venkatesh (2019) Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 41 (10). pp. 2452-2465.

Awasthi, Navchetan and Prabhakar, K Ram and Kalva, Sandeep Kumar and Pramanik, Manojit and Babu, R Venkatesh and Yalavarthy, Phaneendra K (2019) PA-Fuse: deep supervised approach for the fusion of photoacoustic images with distinct reconstruction characteristics. In: BIOMEDICAL OPTICS EXPRESS, 10 (5). pp. 2242-2258.