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Ali Mohammad Pazandeh

3 papers hereh-index 4446 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedEfficient Two-Stream Motion and Appearance 3D CNNs for Video Classification

31 citations · 31 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2016

Weakly Supervised Cascaded Convolutional Networks

Ali Diba, Vivek Sharma, Ali Pazandeh +2

Object detection is a challenging task in visual understanding domain, and even more so if the supervision is to be weak. Recently, few efforts to handle the task without expensive…

cs.CV2016★ 31 cited

Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification

Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool

The video and action classification have extremely evolved by deep neural networks specially with two stream CNN using RGB and optical flow as inputs and they present outstanding p…

cs.CV2016

DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns

Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash +1

The recognition of human actions and the determination of human attributes are two tasks that call for fine-grained classification. Indeed, often rather small and inconspicuous obj…

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