I am a PhD student with Prof. Carsten Rother at Visual Learning Lab (University of Heidelberg) and co-advised by Prof. Andreas Geiger.
I focus on developing algorithms and data for self-supervised learning of computer vision tasks.
I did my Master’s at Robotics Research Center, IIIT-Hyderabad with Prof. K Madhava Krishna, where I worked on object search in indoor environments.

Email : karthik.kovalam@gmail.com

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News

• Our work on self-supervised object detection via generatve image synthesis is accepted at ICCV 21
• Interned at NVIDIA Research from June 2020 - March 2021
• Our paper on highly realistic controllable image synthesis and decomposition has been accepted at 3DV 2020
• Our work on self-supervised viewpoint learning from image collections is accepted at CVPR 20
• Interned at NVIDIA Research from May - November 2019
• 2 papers accepted at ACCV 18, instance aware 6D object pose estimation [pdf] and geometry aware realistic image synthesis[pdf]
• Our work on exploring recognition granularities to improve object scene flow estimation is accepted at ICCV 17 [pdf]
• Our work on efficient data augmentation with synthetic objects to train CNNs is accepted in IJCV 18 [pdf]

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Publications

Self-Supervised Object Detection via Generative Image Synthesis Siva Karthik M, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz ICCV 21

Self-Supervised Viewpoint Learning From Image Collections Siva Karthik M, Varun Jampani , Shalini De Mello , Sifei Liu , Umar Iqbal , Carsten Rother, Jan Kautz CVPR 20 [Paper] [Project] [Code]

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition Siva Karthik M*, Hassan Abu Alhaija* , Varun Jampani, Justus Thies, Matthias Niessner, Andreas Geiger, Carsten Rother 3DV 20 [Paper] [Poster]   *equal contribution

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects Siva Karthik M*, Omid Hosseini Jafari*, Karl Pertsch, Eric Brachmann, Carsten Rother ACCV 18 [Paper]   *equal contribution

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? Siva Karthik M*, Aseem Behl*, Omid Hosseini Jafari*, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger ICCV 17 [Paper]   *equal contribution

Geometric Image Synthesis Hassan Abu Alhaija, Siva Karthik M, Andreas Geiger, Carsten Rother ACCV 18 [Paper] [video]

Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes Hassan Abu Alhaija, Siva Karthik M, Lars Mescheder, Andreas Geiger, Carsten Rother IJCV 18 [Paper]

Augmented Reality Meets Deep Learning for Car Instance Segmentation in Urban Scenes Hassan Abu Alhaija, Siva Karthik M, Lars Mescheder, Andreas Geiger, Carsten Rother BMVC 17 [Paper]

Can Ground Truth Label Propagation from Video help Semantic Segmentation? Siva Karthik M, Michael Yang, Carsten Rother Video Seg. Workshop, ECCV 16 [Paper]

Markov Random Field based Small Obstacle Discovery over Images Siva Karthik M*, Suryansh Kumar*, K Madhava Krishna ICRA 14 [Paper] *equal contribution

Guess from Far, Recognize when Near: Searching Floor for Small Objects Siva Karthik M, Sudhanshu Mittal, K Madhava Krishna ICVGIP 14 [Paper] [video]

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