We discuss our findings at IEEE/CVF Conference on CVPR (Computer Vision and Pattern Recognition) 2022

19th – 24th June 2022 - New Orlearns, LA

We are presenting 4 main conference papers and 1 workshop paper.
In Main Conference

| Wednesday, June 22, 2022 10:00AM–12:30PM CDT - Poster 2.1 (Halls B2-C)

• We present a method to render a better image from event data with a mixed density event stacking and a future event prediction module to estimate quality depths.

Stereo Depth from Events Cameras: Concentrate and Focus on the Future

YeongWoo Nam, Mohammad Mostafavi, Kuk-Jin Yoon, Jonghyun Choi

CVPR 2022
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| Wednesday, June 22, 2022 2:30PM–5:00PM CDT - Poster 2.2 (Halls B2-C)

• We present a new continual learning setup of i-blurry that fixes less realistic factor in existing Blurry set-up and a new evaluation metric for continual learning; evaluating at all times of learning (A_AUC).

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries

Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi

CVPR 2022
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• We present the first unsupervised learning method for binary neural networks without using labeled data at any training phase.

Self-Supervised Learning for Binary Networks by Joint Classifier Training

Dahyun Kim, Jonghyun Choi

CVPR 2022
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| Friday, June 24, 2022 10:00AM–12:30PM CDT - Poster 3.1 (Halls B2-C)

• We present a novel sparse neural network learning method for image restoration problems.

(Collaborated with SNU CV Lab.)

Attentive Fine-Grained Structured Sparsity for Image Restoration

Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, Kyoung Mu Lee

CVPR 2022
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In Workshop

Sunday, June 19 9:00AM-5:30PM CDT - Room 224

Embodied AI Workshop

• We present a new method for new TEACh benchmark, achieving a state of the art performance.

Language Guided Meta-Control for Embodied Instruction Following

Divyam Goel, Kunal Pratap Singh, Jonghyun Choi

CVPR Workshop on Embodied AI 2022
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