5 papers · 1 filter
Objects as Spatio-Temporal 2.5D points
Paridhi Singh, Gaurav Singh, Arun Kumar
Determining accurate bird's eye view (BEV) positions of objects and tracks in a scene is vital for various perception tasks including object interactions mapping, scenario extracti…
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface
Arun CS Kumar, Disha Ahuja, Ashwath Aithal
A novel, adaptive ground-aware, and cost-effective 3D Object Detection pipeline is proposed. The ground surface representation introduced in this paper, in comparison to its uni-pl…
Matching Disparate Image Pairs Using Shape-Aware ConvNets
Shefali Srivastava, Abhimanyu Chopra, Arun CS Kumar +2
An end-to-end trainable ConvNet architecture, that learns to harness the power of shape representation for matching disparate image pairs, is proposed. Disparate image pairs are de…
Deep Spectral Correspondence for Matching Disparate Image Pairs
Arun CS Kumar, Shefali Srivastava, Anirban Mukhopadhyay +1
A novel, non-learning-based, saliency-aware, shape-cognizant correspondence determination technique is proposed for matching image pairs that are significantly disparate in nature.…
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments
Karan Sharma, Arun CS Kumar, Suchendra Bhandarkar
Significant performance gains in deep learning coupled with the exponential growth of image and video data on the Internet have resulted in the recent emergence of automated image…