Publications

Please check the latest papers on Google scholar.

	PrimFit: Learning to Fit Primitives Improves Few Shot Learning on Point Clouds. Gopal Sharma, Bidya Dash, Aruni RoyChowdhury, Matheus Gadelha, Marios Loizou, Liangliang Cao, Rui Wang, Erik Learned-Miller, Subhransu Maji and Evangelos Kalogerakis. Symposium on Geometry Processing (SGP), 2022 . [arxiv] [NEW]
	Improving Face Recognition by Clustering Unlabeled Faces in the Wild. Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller and Manmohan Chandraker. European Conference on Computer Vision (ECCV), 2020 . [paper] [supp-mat] [arxiv]
	Label-efficient Learning on Point Clouds using Approximate Convex Decompositions. Matheus Gadelha*, Aruni RoyChowdhury*, Gopal Sharma, Subhransu Maji, Rui Wang, Evangelos Kalogerakis, Liangliang Cao and Erik Learned-Miller. European Conference on Computer Vision (ECCV), 2020 . [project page] [arxiv] * equal contribution
	Automatic adaptation of object detectors to new domains using self-training. Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao and Erik Learned-Miller. Computer Vision and Pattern Recognition (CVPR), 2019 . [paper] [project page]
	Unsupervised Hard Example Mining from Videos for Improved Object Detection. SouYoung Jin*, Aruni RoyChowdhury*, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty and Erik Learned-Miller. European Conference on Computer Vision (ECCV), 2018 . [paper] [project page] * equal contribution
	The Best of Both Worlds: Combining CNNs and geometric constraints for hierarchichal motion segmentation. Pia Bideau, Aruni RoyChowdhury, Rakesh Menon, Erik Learned-Miller. Computer Vision and Pattern Recognition (CVPR), 2018 . [project page]
	Reducing Duplicate Filters in Deep Neural Networks. Aruni RoyChowdhury, Prakhar Sharma and Erik Learned-Miller. NIPS workshop on Deep Learning: Bridging Theory and Practice (DLTP), 2017. [paper]
	Bilinear Convolutional Neural Networks for Fine-grained Visual Recognition. Tsung-Yu Lin, Aruni RoyChowdhury and Subhransu Maji. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2017. [paper] [project page]
	Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery. Aruni RoyChowdhury, Daniel Sheldon, Subhransu Maji and Erik Learned-Miller. CVPR workshop on Perception Beyond the Visual Spectrum (PBVS), 2016. [paper]
	Labeled Faces in the Wild: A Survey. Erik Learned-Miller, Gary B. Huang, Aruni RoyChowdhury, Haoxiang Li, and Gang Hua. Advances in Face Detection and Facial Image Analysis, Springer, 2016.. [paper] [project page]
	One-to-many face recognition with bilinear CNNs. Aruni RoyChowdhury, Tsung-Yu Lin, Subhransu Maji and Erik Learned-Miller. Winter Conference on Applications of Computer Vision (WACV), 2016. [paper] [slides] [arxiv (old)]
	Bilinear CNN Models for Fine-grained Visual Recognition. Tsung-Yu Lin, Aruni RoyChowdhury and Subhransu Maji. International Conference on Computer Vision (ICCV), 2015. [paper] [project page] (oral)

Older publications from undergrad:

• Stroke level user-adaptation for stroke order free online handwriting recognition. D Dutta, A Roy Chowdhury, U Bhattacharya, SK Parui. International Conference on Frontiers in Handwriting Recognition (ICFHR), 2014.
• Scene text detection using sparse stroke information and MLP. A Roy Chowdhury, U Bhattacharya, SK Parui. International Conference on Pattern Recognition (ICPR), 2012.
• Building a Personal Handwriting Recognizer on an Android Device. D Dutta, A Roy Chowdhury, U Bhattacharya, SK Parui. International Conference on Frontiers in Handwriting Recognition (ICFHR), 2012.
• Text detection of two major Indian scripts in natural scene images. A Roy Chowdhury, U Bhattacharya, SK Parui. ICDAR Workshop on Camera-Based Document Analysis and Recognition (CBDAR), 2011.