Anoop Cherian I am a Senior Principal Research Scientist at Mitsubishi Electric Research Labs (MERL), Cambridge, MA and an Adjunct Senior Lecturer with the Australian National University, Canberra. From 2014-2017, I was a Research Fellow at the Australian National University, working with Prof. Stephen Gould and Prof. Richard Hartley. Before that (2012-2014), I was a postdoctoral researcher at Inria (Grenoble) with Dr. Cordelia Schmid and Dr. Julien Mairal. I also collaborate with Prof. Suvrit Sra and Prof. Josh Tenenbaum at MIT. I did my PhD (2013) at the University of Minnesota, Minneapolis, USA under Prof. Nikolaos Papanikolopoulos.  Prior to that I was a software design engineer at Microsoft. I received my undergraduate (honors) degree in computer science and engineering at the National Institute of Technology (NIT), Calicut, India in 2002. I have broad interests in machine learning, including computer vision, language modeling, and robotics. A few big problems of current research interests are: · Large Language Models and Cognition · Multimodal Embodied Intelligence · Neuro-Symbolic Reasoning and Scene Graphs · Generative/Diffusion Models for Image/Video Synthesis · Contrastive/Self-supervised Learning · Non-convex/Riemannian Optimization on Matrix Manifolds My approaches usually use deep learning, geometric optimization, graph neural networks, and generative methods. Please see the publications list below.

Office address: 201 Broadway, 8th Floor Cambridge, MA, USA, 02139 Email: cherian at merl.com Google Scholar Page

News

§ May 2024: We are organizing the Multimodal Algorithmic Reasoning Workshop and the SMART-101 Challenge as part of CVPR in Seattle, June 2024.

§ 2023/2024: Area Chair for NeurIPS 2023, AAAI 2024, ICML 2024, ECCV 2024, and NeurIPS 2024

§ Sept 2023: My podcast with AI Business on "AI and Generalization".

§ July 2023: We organized the Vision and Language Algorithmic Reasoning Workshop in Paris. The keynote videos are available!

§ June 2023: My keynote at the Artificial General Intelligence (AGI) Conference 2023 on "Are Deep Neural Networks SMARTer than Second Graders?"

§ May 2023: The SMART-101 dataset associated with our CVPR'23 paper Are Deep Neural Networks SMARTer than Second Graders? is publicly released here.

§ Feb 2023:  Three papers accepted at CVPR 2023! Congratulations Jiahao and Anshul !!

§ Oct 2022: My keynote on Neural Scene Representations for Multimodal Machine Intelligence at the SANE Workshop.

§ Sept 2022: Three papers accepted at NeurIPS 2022! Congratulations Sudipta, Moitreya, and Aniket!

§ Feb 2022: Three papers (including one oral) accepted at AAAI 2022 (acceptance rate 15%)!

§ Dec 2021: Three papers at ICCV 2021 (including one oral), two at TPAMI, and one at AAAI 2021 !

§ Sept 2021: My Invited Talk on InSeGAN: An Unsupervised Approach to Indetical Instance Segmentation at the Visual Information Lab, at the Univeristy of Bristol, UK.

§ Jan 2021: My Invited Talk on Dynamic Graph Representation Learning for Audio-Visual Scene-Aware Dialog at the Computational Cognitive Science Lab at MIT.

§ Aug 2020: My Invited Talk on Sound2Sight: Audio-conditioned Visual Imagination at the ECCV 2020 Workshop on Multimodal Video Analysis

§ June 2020: With Stephen Gould, Dylan Campbell, and Richard Hartley, I am co-organizing Deep Declarative Networks, CVPR 2020 Workshop

§ July 2020: One paper each accepted at CVPR, ICML, ECCV, TPAMI, and two at WACV 2020!

§ Aug 2019: One paper each accepted at CVPR, ICML, ICCV, TPAMI, and WACV 2019!

§ Jan 2019: Online talks: Learning Adversarial Peturbations for Action Recognition (ECCV 2018) and Sem-GAN for Image-to-Image Translation (WACV 2019).

§ Sept 2018: I am co-organizing Visually Grounded Interaction and Language Workshop at NIPS 2018.

§ July 2018: Three papers at CVPR, one oral paper at ECCV and one WACV paper accepted in 2018!

§ June/2017: Selected for Outstanding Reviewer Award at CVPR, 2017. News

§ Dec/2016: With Dr. Piotr Koniusz and Prof. Fatih Porikli, I am organizing the CVPR 2017 workshop Tensor Methods in Computer Vision (TMCV2017).

§ Dec/2016: I co-organized the Robotic Vision Summer School (RVSS 2017) at Kioloa, Australia in March 2017.

§ Oct/2016: Selected for Outstanding Reviewer Award at the European Conference on Computer Vision (ECCV), Amsterdam, 2016. News

§ July/2016: Talked about Tensor Representations for Activity Recognition at CSAIL, MIT.

§ 12/1/15: I co-organized the Deep Learning tutorial/workshop as part of the AI2015 and ACRA2015 conferences.

Publications

	100) Deep Neural Room Acoustics Primitive Yuhang He, Anoop Cherian, Gordon Wichern, and Andrew Markham International Conference on Machine Learning (ICML) Preprint, 2024
	99) TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X Huang, and Tim K. Marks Computer Vision and Pattern Recognition (CVPR) Preprint, Project Page, 2024
	98) RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation Zeyuan Yang, Jiageng Liu, Peihao Chen, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, and Chuang Gan Computer Vision and Pattern Recognition (CVPR) Preprint, 2024
	97) CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments Xiulong Liu, Sudipta Paul, Moitreya Chatterjee, and Anoop Cherian AAAI Conference on Artificial Intelligence (AAAI) Preprint, 2024
	96) Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, and Anoop Cherian International Conference on Robotics and Automation (ICRA) Preprint, Video, 2024
	95) Wi-Fi based Indoor Monitoring Enhanced by Multimodal Fusion Chiori Hori, Pu Wang, Mahbub Rahman, Cristian Vaca-Rubio, Sameer Khurana, Anoop Cherian, and Jonathan Le Roux International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Preprint, 2024
	94) Sound3DVDet: 3D Sound Source Detection using Multiview Microphone Array and RGB Images Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, and Andrew Markham Winter Conference in Computer Vision (WACV) Preprint, 2024
	93) Pixel-Grounded Prototypical Part Networks Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael Jones, and Walter Scheirer Winter Conference in Computer Vision (WACV) Preprint, 2024
	92) Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal Patel, and Tim K. Marks Intl. Conference on Computer Vision (ICCV) Preprint, 2023
	91) Are Deep Neural Networks SMARTer than Second Graders? Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin Smith, and Joshua B. Tenenbaum Computer Vision and Pattern Recognition (CVPR) Preprint, SMART-101 Project Page, 2023
	90) Aligning Step-by-Step Instructional Diagrams to Video Demonstrations Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez, and Stephen Gould Computer Vision and Pattern Recognition (CVPR) Preprint, Ikea-in-the-Wild Dataset, 2023
	89) HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, and Rama Chellappa Computer Vision and Pattern Recognition (CVPR) Preprint, 2023
	88) Learning a Constrained Optimizer: A Primal Method, Tao Liu and Anoop Cherian AAAI Bridge Workshop on Constrained Programming and Machine Learning (CPML) Preprint, 2023
	87) Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation Anoop Cherian, Siddarth Jain, Tim K. Marks and Alan Sullivan Intl. Conference on Robotics and Automation (ICRA) Preprint, 2023
	86) H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, and Joshua B. Tenenbaum Intl. Conference on Robotics and Automation (ICRA) Preprint, 2023
	85) AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments Sudipta Paul*, Amit Roy-Chowdhary, and Anoop Cherian* Advances in Neural Information Processing Systems (NeurIPS) Preprint, 2022
	84) Learning Audio-Visual Dynamics Using 2.5D Scene Graphs for Audio Source Separation Moitreya Chatterjee*, Narendra Ahuja, and Anoop Cherian* Advances in Neural Information Processing Systems (NeurIPS) Preprint, 2022
	83) FeLMi: Few-shot Learning Using Hard Mixup Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, and Rama Chellappa Advances in Neural Information Processing Systems (NeurIPS) Preprint, 2022
	82) Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio Moitreya Chatterjee, Narendra Ahuja, and Anoop Cherian Sight and Sound Workshop, CVPR Preprint, 2022
	81) (2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering Anoop Cherian, Chiori Hori, Tim K. Marks, and Jonathan Le Roux AAAI Conference on Artificial Intelligence (AAAI)  (Oral, Acceptance rate ~3%) Preprint, 2022
	80) Max-Margin Contrastive Learning Anshul Shah*, Suvrit Sra, Rama Chellappa, and Anoop Cherian* AAAI Conference on Artificial Intelligence (AAAI) Preprint, Code, 2022
	79) MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation Safa Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua Tenenbaum, Xiaoming Liu, and Tim K. Marks AAAI Conference on Artificial Intelligence (AAAI) Preprint, 2022
	78) A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee*, Narendra Ahuja, and Anoop Cherian* International Conference on Computer Vision (ICCV) (Oral, Acceptance rate ~3%) Preprint, Talk, Code and Data, 2021
	77) InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images Anoop Cherian, Goncalo Pais, Siddarth Jain, Tim Marks, and Alan Sullivan International Conference on Computer Vision (ICCV) Preprint, Code & Data, 2021
	76) Visual Scene Graphs for Audio Source Separation Moitreya Chatterjee*, Jonathan Le Roux, Narendra Ahuja, and Anoop Cherian* International Conference on Computer Vision (ICCV) Preprint, Talk, Code, Data, 2021
	75) Generalized One-Class Learning Using Pairs of Complementary Classifiers Anoop Cherian* and Jue Wang* Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Preprint, 2021
	74) Learning Log-Determinant Divergences for Positive Definite Matrices Anoop Cherian*, Panagiotis Stanitsas*, Jue Wang, Mehrtash Harandi, Vassilios Morellas, and Nikolaos Papanikolopoulos Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Preprint, 2021
	73) Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang , Hongsheng Li, and Anoop Cherian AAAI Conference on Artificial Intelligence Preprint, 2021
	72) Optimizing Deep Neural Networks via Discretization of Finite-Time Convergent Flows Mouhacine Benosman, Orlando Romero, and Anoop Cherian Preprint, 2020
	71) Sound2Sight: Generating Visual Dynamics from Sound and Context Moitreya Chatterjee and Anoop Cherian European Conference on Computer Vision (ECCV) Preprint, Data, Short Talk, Long Talk, 2020
	70) Representation Learning Using Adversarially-Contrastive Optimal Transport Anoop Cherian and Shuchin Aeron International Conference on Machine Learning (ICML) Preprint, Talk, Code, 2020
	69) Inferring Temporal Compositions of Actions Using Probabilistic Automata Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando, Dylan Campbell, and Stephen Gould Compositionality in Computer Vision, CVPR Workshops Preprint, 2020
	68) LUVLi Face Alignment: Estimating Landmarks, Location, Uncertainty, and Visibility Likelihood Abhinav Kumar, Tim Marks, Wenxuan Mou, Ye Wang, Mike Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, and Chen Feng Computer Vision and Pattern Recognition (CVPR) Preprint, 2020
	67) Tensor Representations for Action Recognition Piotr Koniusz, Lei Wang, and Anoop Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Preprint, 2020
	66) Image Descriptors for Weakly Supervised Histopathological Breast Cancer Data Panagiotis Stanitsas, Anoop Cherian, Vassilios Morrelas, Resha Tejpaul, Nikolaos Papanikolopoulos, and Alexander Truskinovsky Frontiers in Digital Health, Connected Health Preprint, 2020
	65) Spatio-Temporal Ranked-Attention Networks for Video Captioning Anoop Cherian, Jue Wang, Chiori Hori, and Tim Marks Winter Conference on Applications of Computer Vision (WACV) Preprint, Poster, Talk 2020
	64) FX-GAN: Self-Supervised GAN Learning via Feature Exchange Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, and Tim Marks Winter Conference on Applications of Computer Vision (WACV) Preprint, 2020
	63) GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection Jue Wang and Anoop Cherian International Conference on Computer Vision (ICCV) Preprint, 2019
	62) Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation Yuanwei Wu, Tim Marks, Anoop Cherian, Siheng Chen, Chen Feng, Guanghui Wang, and Alan Sullivan Recovering 6D Object Pose Workshop at ICCV Preprint, 2019
	61) Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function Arvind Raghunathan, Anoop Cherian, and Devesh Jha International Conference on Machine Learning (ICML) Preprint, Code, 2019
	60) Audio-Visual Scene-Aware Dialog H. Alamri, V. Cartillier, A. Das, J. Wang, S. Lee, P. Anderson, I. Essa, D. Parikh, D. Batra, A. Cherian, T. Marks, and C. Hori Computer Vision and Pattern Recognition (CVPR) Preprint, Code & Data, 2019
	59) Sem-GAN: Semantically-consistent Image-to-Image Translation Anoop Cherian and Alan Sullivan Winter Conference on Applications of Computer Vision (WACV) Preprint, Talk, 2019
	58) Discriminative Video Representation Learning Using Support Vector Classifiers Jue Wang and Anoop Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) Preprint, 2019
	57) Joint Student-Teacher Learning for Audio-Visual Scene-Aware Dialog Chiori Hori, Anoop Cherian, Tim Marks, and Takaaki Hori InterSpeech Preprint, 2019
	56) End-to-End Audio-Visual Scene-Aware Dialog Using Multimodal Attention-based Video Features C. Hori, H. Alamri, J. Wang, G. Wichern, T. Hori, A. Cherian, T. Marks, V. Cartillier, R. Lopes, A. Das, I. Essa, D. Batra, and D. Parikh International Conference on Audio, Speech, and Signal Processing (ICASSP) Preprint, 2019
	55) Visual Permutation Learning Rodrigo SantaCruz, Basura Fernando, Anoop Cherian, and Stephen Gould IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) Preprint, Code, 2018
	54) Second-order Temporal Pooling for Action Recognition Anoop Cherian and Stephen Gould International Journal of Computer Vision (IJCV) Preprint, 2018
	53) Learning Discriminative Video Representations Using Adversarial Perturbations Jue Wang and Anoop Cherian European Conference on Computer Vision (ECCV) (Oral, Acceptance rate <3%) Preprint,Talk, Code, 2018
	52) Non-Linear Temporal Subspace Representations for Activity Recognition Anoop Cherian, Suvrit Sra, Stephen Gould, and Richard Hartley Computer Vision and Pattern Recognition (CVPR), 2018 Preprint Code HMDB ResNet152 Features
	51) Video Representation Learning Using Discriminative Pooling Jue Wang, Anoop Cherian, Fatih Porikli, and Stephen Gould Computer Vision and Pattern Recognition (CVPR), 2018 Preprint, Code
	50) Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective Suryansh Kumar, Anoop Cherian, Yuchao Dai, and Hongdong Li Computer Vision and Pattern Recognition (CVPR), 2018 Preprint
	49) Neural Algebra of Classifiers Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, and Stephen Gould Winter Conference on Applications of Computer Vision (WACV) Preprint, Code, 2018
	48) Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7 H. Alamri, V. Cartillier, R. Lopes, A. Das, J. Wang, I. Essa, D. Batra, D. Parikh, A. Cherian, T. Marks, and C. Hori Visual Question Answering (VQA) Workshop, CVPR Workshops, 2018 Preprint
	47) Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description Chiori Hori, Takaaki Hori, Gordon Wichern, Jue Wang, Teng-Yok Lee, Anoop Cherian, and Tim K. Marks Site and Sound Workshop, CVPR Workshops, 2018 Preprint, 2018
	46) Human Action Forecasting by Learning Task Grammars Tengda Han, Jue Wang, Anoop Cherian, and Stephen Gould Preprint, 2017
	45) Clustering Positive Definite Matrices by Learning Information Divergences Panagiotis Stanitsas, Anoop Cherian, Vassilios Morrelas, and Nikolaos Papanikolopoulos Workshop on Manifold Learning: from Euclid to Riemann, ICCV Workshops, 2017 Preprint
	44) Human Pose Forecasting via Deep Markov Models Sam Toyer, Anoop Cherian, Tengda Han, and Stephen Gould International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017 Preprint Ikea Furniture Assembly Dataset
	43) Learning Discriminative Alpha-Beta Divergences for Positive Definite Matrices Anoop Cherian*, Panagiotis Stanitsas*, Mehrtash Harandi, Vassilios Morrelas, and Nikolaos Papanikolopoulos International Conference of Computer Vision (ICCV), 2017 Preprint, Code
	42) Generalized Rank Pooling for Action Recognition Anoop Cherian, Basura Fernando, Mehrtash Harandi, and Stephen Gould Computer Vision and Pattern Recognition (CVPR), 2017 Preprint Poster Code
	41) DeepPermNet: Visual Permutation Learning Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, and Stephen Gould Computer Vision and Pattern Recognition (CVPR), 2017 Preprint
	40) Sequence Summarization Using Order-constrained Kernelized Feature Subspaces Anoop Cherian, Suvrit Sra, and Richard Hartley Arxiv Preprint, 2017
	39) Action Representation Using Classifier Decision Boundaries Jue Wang, Anoop Cherian, Fatih Porikli, and Stephen Gould Arxiv Preprint, 2017
	38) Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition Anoop Cherian, Piotr Koniusz, and Stephen Gould Winter Conference on Applications of Computer Vision (WACV), 2017 Preprint, Code
	37) Ordered Pooling of Optical Flow Sequences for Action Recognition Jue Wang, Anoop Cherian, and Fatih Porikli Winter Conference on Applications of Computer Vision (WACV), 2017 Preprint
	36) Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse Coding Neng Zhong, Wen Yang, Anoop Cherian, Xiangli Yang, Gui-Song Xia, and Mingsheng Liao IEEE Transactions on Geoscience and Remote Sensing, 2017 Preprint
	35) Active Convolutional Neural Networks for Cancerous Tissue Recognition Panagiotis Stanitsas, Anoop Cherian, Alexander Truskinovsky, Vassilios Morellas, and Nikolaos Papanikolopoulos International Conference on Image Processing (ICIP), 2017 (oral) Preprint
	34) Part-based Fine-grained Bird Image Retrieval Respecting Species Correlation Cheng Pang, Hongdong Li, Anoop Cherian, and Hongxun Yao International Conference on Image Processing (ICIP), 2017 Preprint
	33) Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices Anoop Cherian and Suvrit Sra, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016 Preprint Code
	32) On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization, S. Gould, B. Fernando, A. Cherian, P. Anderson, R. Santa Cruz, and E. Guo, 2016 Tech. Report
	31) Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons, Piotr Koniusz, Anoop Cherian, and Fatih Porikli, European Conference on Computer Vision (ECCV), 2016 Preprint
	30) Sparse Coding for Third-Order Super-Symmetric Tensors with Application to Texture Recognition, Piotr Koniusz and Anoop Cherian, Computer Vision and Pattern Recognition (CVPR), 2016 Preprint (spotlight presentation (top 10%))
	29 Positive Definite Matrices: Data Representation and Applications in Computer Vision, Anoop Cherian and Suvrit Sra, Invited Book Chapter in Algorithmic Advances in Riemannian Geometry and Applications , Springer, 2016 Preprint
	28) Evaluation of Feature Descriptors for Cancerous Tissue Recognition, P. Stanitsas, A. Cherian, X. Li, A. Truskinovsky, V. Morellas, and N.Papanikolopoulos, International Conference on Pattern Recognition (ICPR), 2016 (oral) Preprint
	27) Active Constrained Clustering via Non-iterative Sampling, P. Stanitsas, A. Cherian, V. Morellas, and N.Papanikolopoulos, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 Preprint
	26) Riemannian Sparse Coding for Classification of PolSAR Images, Y. Wen, N. Zhong, X. Yang, and A. Cherian IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016 (oral) Preprint (oral)
	25) Bayesian Non-parametric Clustering for Positive Definite Matrices Anoop Cherian, Vassilios Morellas, and Nikolaos Papanikolopoulos IEEE Transactions of Pattern Analysis and Machine Intelligence (PAMI), July, 2015 Preprint Code
	24) A Vision Based Ensemble Approach to Velocity Estimation for Miniature Rotorcraft Jonathan Andersh, Anoop Cherian, Nikolaos Papanikolopoulos, and Berenice Mettler Autonomous Robots, 2015 Preprint
	23) Dictionary Learning and Sparse Coding for Third-Order Super-Symmetric Tensors, Piotr Koniusz and Anoop Cherian, Preprint, 2015
	22) Riemannian Sparse Coding for Positive Definite Matrices Anoop Cherian and Suvrit Sra European Conference on Computer Vision  (ECCV),  2014 Preprint Code Poster
	21) Mixing Body-part Sequences for Human Pose Estimation Anoop Cherian, Julien Mairal, Karteek Alahari  and  Cordelia Schmid Computer Vision and Pattern Recognition (CVPR), 2014 Preprint Project Page Code
	20) Nearest Neighbors Using Compact Sparse Codes Anoop Cherian International Conference on Machine Learning (ICML), 2014 Preprint Talk Code
	19) Efficient Nearest Neighbors via Robust Sparse Hashing Anoop Cherian, Suvrit Sra, Vassilios Morellas and Nikolaos Papanikolopoulos IEEE Transactions on Image Processing (TIP), 2014 Preprint
	18) Action Recognition Using Global Spatio-Temporal Features Derived from Sparse Representations Guruprasad Somasundaram, Anoop Cherian, Vassilios Morellas, and Nikolaos Papanikolopoulos Computer Vision and Image Understanding (CVIU), 2014 Preprint
	17) Jensen-Bregman Logdet Divergence with Application to Efficient Similarity Search for Covariance Matrices Anoop Cherian, Suvrit Sra, Arindam Banerjee and Nikolaos Papanikolopoulos IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2013 Preprint
	16) Robust Sparse Hashing (Best Student Paper Award) Anoop Cherian, Vassilios Morellas, and Nikolaos Papanikolopoulos  International Conference on Image Processing (ICIP), 2012 Preprint
	15) Large Scale Image Search via Sparse Coding (Best Poster Award) Anoop Cherian and Nikolaos Papanikolopoulos Minnesota Supercomputing Institute (MSI) Poster Competition, 2012 Poster, News
	14) A Multi-Sensor Visual Tracking System for Behavior Monitoring of At-Risk Children Ravishankar Sivalingam, Anoop Cherian, Joshua Fasching, Nicholas Walczak, Nate Bird, Vassilios Morellas, Nikolaos Papanikolopoulos, Guillermo Sapiro and Kelvin Lim International Conference Robotics and Automation (ICRA), 2012   Preprint
	13) Compact Covariance Descriptors in 3D Point Clouds for Object Recognition Duc Fehr, Anoop Cherian, Ravishankar Sivalingam, Sam Nickolay, Vassilios Morellas and Nikolaos Papanikolopoulos International Conference on Robotics and Automation (ICRA), 2012 Preprint
	12) Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval Suvrit Sra and Anoop Cherian  European Conference on Machine Learning (ECML), 2011 Preprint
	11) Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence Anoop Cherian, Suvrit Sra, Arindam Banerjee and Nikolaos Papanikolopoulos  International Conference on Computer Vision (ICCV), 2011 Preprint
	10) Dirichlet Process Mixture Models on Symmetric Positive Definite Matrices for Appearance Clustering in Video Surveillance Applications, Anoop Cherian, Vassilios Morellas, Nikolaos Papanikolopoulos and Saad Bedros Computer Vision and Pattern Recognition (CVPR), 2011 Preprint
	9) Denoising Sparse Noise via Online Dictionary Learning, Anoop Cherian, Suvrit Sra and Nikolaos Papanikolopoulos, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 Preprint
	8) Motion Estimation of a Miniature Helicopter using a Single Onboard Camera Anoop Cherian, Jonathan Andersh, Vassilios Morellas, Berenice Mettler and Nikolaos Papanikolopoulos  American Control Conference (ACC) , 2010 Preprint
	7) Autonomous Altitude Estimation of a UAV using a Single Onboard Camera Anoop Cherian, Jonathan Andersh, Vassilios Morellas, Nikolaos Papanikolopoulos and Berenice Mettler,  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2009 Preprint
	6) Accurate 3D Ground Plane Estimation from a Single Image Anoop Cherian, Vassilios Morellas and Nikolaos Papanikolopoulos IEEE-International Conference on Robotics and Automation (ICRA) , 2009 Preprint
	5) Similarity Search in Visual Data Anoop Cherian  University of Minnesota, Minneapolis, Jan 2013 PhD Thesis Slides
	4) Autonomous Altitude Estimation of a Miniature Helicopter Using a Single Onboard Camera Anoop Cherian University of Minnesota, Minneapolis, April 2010 Masters Thesis
	3) Jensen-Bregman LogDet Divergence for Efficient Similarity Computations on Positive Defnite Tensors Anoop Cherian, Suvrit Sra, Arindam Banerjee and Nikolaos Papanikolopoulos University of Minnesota, May, 2012 Tech. Report.
	2) Efficient Similarity Search via Sparse Coding, Anoop Cherian, Vassilios Morellas and Nikolaos Papanikolopoulos University of Minnesota, Jan, 2012 Tech. Report.
	1) Approximate Nearest Neighbors via Dictionary Learning, Anoop Cherian, Vassilios Morellas and Nikolaos Papanikolopoulos Proceedings of SPIE, Orlando Florida, 2011