Event date: January 8 – January 12, 2017
Organizers:
Michael Rabin, General Director (Harvard University)
Takeo Kanade, Director (Carnegie Mellon University)
Alexei (Aloysha) Efros, Codirector (UC Berkeley )
Yair Weiss, Codirector (The Hebrew University)
Confirmed Speakers:
Jitendra Malik, UC Berkeley
Shree Nayar, Columbia
Bill Freeman, MIT and Google
Cordelia Schmid, INIRIA
Rob Fergus, Facebook and NYU
Rick Szeliski, Facebook
Michal Irani, Weizmann
Ira Kemelmacher-Shlizerman, University of Washington
Computer Vision is one of the grand challenges of Artificial Intelligence and Computer Science. Despite some impressive recent commercial applications, the goal of attaining human level visual performance with a computer and a camera remains elusive. This one week Winter School will bring together the top researchers in the world to present the current state of Computer Vision and discuss future directions. The program will include tutorials, panel discussions and multiple opportunities for direct interaction between the students and the faculty.
Event date: January 8 – January 12, 2017
Organizers:
Michael Rabin, General Director (Harvard University)
Takeo Kanade, Director (Carnegie Mellon University)
Alexei (Aloysha) Efros, Codirector (UC Berkeley )
Yair Weiss, Codirector (The Hebrew University)
Confirmed Speakers:
Jitendra Malik, UC Berkeley
Shree Nayar, Columbia
Bill Freeman, MIT and Google
Cordelia Schmid, INIRIA
Rob Fergus, Facebook and NYU
Rick Szeliski, Facebook
Michal Irani, Weizmann
Ira Kemelmacher-Shlizerman, University of Washington
Computer Vision is one of the grand challenges of Artificial Intelligence and Computer Science. Despite some impressive recent commercial applications, the goal of attaining human level visual performance with a computer and a camera remains elusive. This one week Winter School will bring together the top researchers in the world to present the current state of Computer Vision and discuss future directions. The program will include tutorials, panel discussions and multiple opportunities for direct interaction between the students and the faculty.
Jan 8, 2017
Event date: January 8 – January 12, 2017
Organizers:
Michael Rabin, General Director (Harvard University)
Takeo Kanade, Director (Carnegie Mellon University)
Alexei (Aloysha) Efros, Codirector (UC Berkeley )
Yair Weiss, Codirector (The Hebrew University)
Confirmed Speakers:
Jitendra Malik, UC Berkeley
Shree Nayar, Columbia
Bill Freeman, MIT and Google
Cordelia Schmid, INIRIA
Rob Fergus, Facebook and NYU
Rick Szeliski, Facebook
Michal Irani, Weizmann
Ira Kemelmacher-Shlizerman, University of Washington
Computer Vision is one of the grand challenges of Artificial Intelligence and Computer Science. Despite some impressive recent commercial applications, the goal of attaining human level visual performance with a computer and a camera remains elusive. This one week Winter School will bring together the top researchers in the world to present the current state of Computer Vision and discuss future directions. The program will include tutorials, panel discussions and multiple opportunities for direct interaction between the students and the faculty.
Jan 8, 2017
Event date: January 8 – January 12, 2017
Organizers:
Michael Rabin, General Director (Harvard University)
Takeo Kanade, Director (Carnegie Mellon University)
Alexei (Aloysha) Efros, Codirector (UC Berkeley )
Yair Weiss, Codirector (The Hebrew University)
Confirmed Speakers:
Jitendra Malik, UC Berkeley
Shree Nayar, Columbia
Bill Freeman, MIT and Google
Cordelia Schmid, INIRIA
Rob Fergus, Facebook and NYU
Rick Szeliski, Facebook
Michal Irani, Weizmann
Ira Kemelmacher-Shlizerman, University of Washington
Computer Vision is one of the grand challenges of Artificial Intelligence and Computer Science. Despite some impressive recent commercial applications, the goal of attaining human level visual performance with a computer and a camera remains elusive. This one week Winter School will bring together the top researchers in the world to present the current state of Computer Vision and discuss future directions. The program will include tutorials, panel discussions and multiple opportunities for direct interaction between the students and the faculty.