Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds Jaeyong Sung, Seok Hyun Jin, and Ashutosh Saxena Abstract There is a large variety of objects and appliances in

Source URL: pr.cs.cornell.edu

Anticipating Human Activities using Object Affordances for Reactive Robotic Response Hema S. Koppula and Ashutosh Saxena. Department of Computer Science, Cornell University. {hema,asaxena}@cs.cornell.edu Abstract—An im

Source URL: pr.cs.cornell.edu

Learning Grasp Strategies with Partial Shape Information Ashutosh Saxena, Lawson L.S. Wong and Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305 {asaxena,lsw,ang}cs.stanford.edu

Source URL: pr.cs.cornell.edu

A Fast Data Collection and Augmentation Procedure for Object Recognition Benjamin Sapp and Ashutosh Saxena and Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305 {bensapp,asaxena,ang}@cs.st

Source URL: ai.stanford.edu

A Symbolic Execution Framework for JavaScript Prateek Saxena, Devdatta Akhawe, Steve Hanna, Feng Mao, Stephen McCamant, Dawn Song Computer Science Division, EECS Department University of California, Berkeley {prateeks, d

Source URL: webblaze.cs.berkeley.edu

1 S MART P OOL: Practical Decentralized Pooled Mining (Draft v0.1, 10 JanLoi Luu∗ , Yaron Velner† , Jason Teutsch‡ , Prateek Saxena∗ ∗ School of Computing, National University of Singapore

Source URL: smartpool.io

• Cryptocurrencies
• Economy
• Money
• Concurrent computing
• Mining pool
• Bitcoin
• Ghash.io
• Ethereum
• Blockchain
• Smart contract
• Coinbase
• Cryptoeconomics

3D-Based Reasoning with Blocks, Support, and Stability Zhaoyin Jia† , Andrew Gallagher† , Ashutosh Saxena⇤ , Tsuhan Chen† † School of Electrical and Computer Engineering, Cornell University. ⇤ Department of C

Source URL: pr.cs.cornell.edu

Rapid Interactive 3D Reconstruction from a Single Still Image Ashutosh Saxena, Nuwan Senaratna, Savil Srivastava, and Andrew Y. Ng Computer Science Department, Stanford University. e-mail: {asaxena,nuwans,savil,ang}@cs.s

Source URL: ai.stanford.edu

Learning Depth from Single Monocular Images Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305

Source URL: www.cs.cornell.edu

1 POSTER: W E S HARE: A Coercion-Resistant and Scalable Storage Cloud Hoon Wei Lim, Loi Luu, Shruti Tople, Prateek Saxena School of Computing, National University of Singapore {hoonwei,loiluu,shruti90,prateeks}@comp.nus

Source URL: www.comp.nus.edu.sg