Liefeng Bo

About

Liefeng Bo is a prominent researcher whose work sits at the intersection of computer vision, robotics, and human-robot interaction. Best known for creating the large-scale hierarchical multi-view RGB-D object dataset (2011), which has garnered over 1,300 citations, Bo has fundamentally shaped how robots perceive and recognize objects in three-dimensional space. This benchmark resource accelerated progress across the field by providing synchronized visual and depth data that researchers worldwide rely on for developing and evaluating recognition systems. Beyond perception, Bo has made substantial contributions to language grounding — the challenging problem of linking natural language descriptions to sensory perception — enabling robots to identify objects through conversational descriptions and deictic gestures. His work on grounded attribute learning and unscripted human-robot interaction demonstrates a sustained commitment to making robots accessible to everyday users. His tactile sensing research, particularly the ST-HMP descriptor for spatio-temporal feature learning, further extends robotic perception beyond vision into touch. Bo has also explored practical robotic systems, including the impressive Gambit autonomous chess-playing robot, showcasing real-world manipulation capabilities. More recently, his work on automated pig counting highlights his versatility and willingness to apply deep learning expertise to impactful agricultural challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   A large-scale hierarchical multi-view RGB-D object dataset

   1,322 citations · 2011
2. 2
   A Joint Model of Language and Perception for Grounded Attribute Learning

   184 citations · 2012
3. 3
   ST-HMP: Unsupervised Spatio-Temporal feature learning for tactile data

   116 citations · 2014
4. 4
   A Joint Model of Language and Perception for Grounded Attribute Learning

   90 citations · 2012
5. 5
   Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions

   83 citations · 2014
6. 6
   Gambit: An autonomous chess-playing robotic system

   71 citations · 2011
7. 7
   Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions

   70 citations · 2014
8. 8
   RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

   62 citations · 2012
9. 9
   Attribute based object identification

   53 citations · 2013
10. 10
    Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering

    29 citations · 2020

Key Collaborators

Contact & Links