Advanced topics in computer vision: image sequence analysis, spatio-temporal filtering, camera calibration and hand-eye coordination, robot navigation, shape representation, physically-based modeling, regularization theory, multi-sensory fusion, biological models, expert vision systems, and other topics selected from recent research papers.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeChill class, I'd highly recommend it. But cmon bro waking up at 8 AM was tough
Manj isn't the best lecturer, he assumes you know more than you do and I was often very lost and confused towards the ends of his lectures. I ended up learning everything from the HW, which takes a lot of time depending on your python skills, but its all doable if you put in the time. Very nice and approachable guy but bad at explaining the class.
Very helpful teacher and makes sure students really understand the material before moving on so ask questions if you have them. Highly suggest attending class as there's not too many books or notes otherwise. Material seems hard, but isn't actually too bad once you get a good understanding of it. Projects were pretty simple and not too long.
His lectures are really good and he answers students questions until everyone understands. I learned a lot in class. The homework could be unclear but he'd clarify in class. The exams were somewhat difficult but doable.
Manjunath is a pretty good professor - every quarter he tries a new course project and they are usually pretty interesting. His class is a fair amount of work, but the material is do-able and the exams aren't too difficult. Very intelligent professor, pretty interesting class. Would recommend.
Rich Wolski
4.2
Daniel Lokshtanov
3.7
Prabhanjan Ananth
3.6