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

  • 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]


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]