Anoop Cherian

About

Anoop Cherian is a computer vision and robotics researcher whose work spans human motion understanding, 3D scene perception, and intelligent robotic systems. His research sits at the intersection of machine learning and real-world robotic applications, with a particular focus on enabling machines to anticipate and respond to human behavior. Cherian's most influential contributions include his work on human pose forecasting using Deep Markov Models (2017, 43 citations), which addressed the challenging problem of long-range motion prediction — a capability critical for autonomous driving, surveillance, and human-robot interaction. Complementing this, his research on human action forecasting through learned task grammars demonstrated novel approaches to predicting complex, repetitive human activities. His earlier work on 3D ground plane estimation from single images (39 citations) and covariance-based object recognition in 3D point clouds (38 citations) laid important foundations for robust robotic perception and SLAM-related challenges. More recently, Cherian has tackled sophisticated problems including multi-level reasoning for robotic assembly and few-shot transparent object segmentation for bin picking, reflecting a sustained commitment to advancing practical robotic autonomy. His body of work demonstrates a consistent vision: equipping robots with the perceptual and predictive intelligence needed to operate meaningfully alongside humans.

Research Focus

Key Achievements

Top Papers

1. 1
   Human Pose Forecasting via Deep Markov Models

   43 citations · 2017
2. 2
   Accurate 3D ground plane estimation from a single image

   39 citations · 2009
3. 3
   Compact covariance descriptors in 3D point clouds for object recognition

   38 citations · 2012
4. 4
   Human Action Forecasting by Learning Task Grammars

   12 citations · 2017
5. 5
   Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection

   10 citations · 2024
6. 6
   Active Constrained Clustering via non-iterative uncertainty sampling

   3 citations · 2016
7. 7
   Few-shot Transparent Instance Segmentation for Bin Picking

   2 citations · 2024
8. 8
   Similarity search in visual data

   2 citations · 2013
9. 9
   Human Pose Forecasting via Deep Markov Models

   2 citations · 2017

Key Collaborators

Contact & Links