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researcher

Jiakai Zhang

New York University

4 papers hereh-index 95.3k citations17 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
affiliations
  • New York University
same name
  • Jiakai Zhang — 14 papers, h 8
  • Jiakai Zhang — 1 paper, h 0
  • Jiakai Zhang — 1 paper, h 1
  • Jiakai Zhang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEnd to End Learning for Self-Driving Cars

3.1k citations · 3.3k across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2017★ 136 cited

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

Yanghua Jin, Jiakai Zhang, Minjun Li +3

Automatic generation of facial images has been well studied after the Generative Adversarial Network (GAN) came out. There exists some attempts applying the GAN model to the proble…

cs.CV2017

Improved Descriptors for Patch Matching and Reconstruction

Rahul Mitra, Jiakai Zhang, Sanath Narayan +3

We propose a convolutional neural network (ConvNet) based approach for learning local image descriptors which can be used for significantly improved patch matching and 3D reconstru…

cs.LG2016★ 117 cited

Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Jiakai Zhang, Kyunghyun Cho

One way to approach end-to-end autonomous driving is to learn a policy function that maps from a sensory input, such as an image frame from a front-facing camera, to a driving acti…

cs.CV2016★ 3.1k cited

End to End Learning for Self-Driving Cars

Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski +10

We trained a convolutional neural network (CNN) to map raw pixels from a single front-facing camera directly to steering commands. This end-to-end approach proved surprisingly powe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.