Jisoo Jeong

Jisoo Jeong is a Staff Engineer at Qualcomm AI Research. His work is focused on advancing correspondence tasks, including optical flow, stereo depth estimation, and video frame interpolation. Dr. Jeong received his Ph.D. from Seoul National University under the supervision of Professor Nojun Kwak, where his doctoral research specialized in semi-supervised learning, object detection, and semi-supervised object detection.

Email : jisojeon@qti.qualcomm.com

Github : https://github.com/soo89

Scholar : Scholar

Resume : CV

Selected Publications

Optical Flow

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat, Fatih Porikli

CVPR 2024

DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling

Jisoo Jeong, Hong Cai, Risheek Garrepalli, Fatih Porikli

CVPR 2023

Imposing Consistency for Optical Flow Estimation

Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak

CVPR 2022

Object Detection

Interpolation-based Semi-supervised Learning for Object detection

Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak

CVPR 2021

Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction

Daesic Kim*, Gyujeong Lee*, Jisoo Jeong*, Nojun Kwak

AAAI 2020

Consistency-based Semi-supervised Learning for Object detection

Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim, Nojun Kwak

NeurIPS 2019

Enhancement of SSD by concatenating feature maps for object detection

Jisoo Jeong, Hyojin Park, Nojun Kwak

BMVC 2017

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