발행물

전체 논문

70

11

Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders
Jongmin Gim*, Jihun Park*, Kyoungmin Lee*, Sunghoon Im†
Asian Conference on Computer Vision (ACCV), 2024

12

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Jaeyeul Kim*, Jungwan Woo*, Jeonghoon Kim, Sunghoon Im†
European Conference on Computer Vision (ECCV), 2024

13

BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
EungGu Kang, Byeonghun Lee, Sunghoon Im†, Kyong Hwan Jin†
European Conference on Computer Vision (ECCV), 2024

14

Density-aware Domain Generalization for LiDAR Semantic Segmentation
Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, Sunghoon Im†
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

15

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin†
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

16

Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi*, Mingyu Shin*, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im†
IEEE International Conference on Robotics and Automation (ICRA), 2024

17

A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Jinwoo Bae, Kyumin Hwang, Sunghoon Im†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1970

18

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction
Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyeonghwan Jin†
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

19

Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im†
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

20

Depth-discriminative Metric Learning for Monocular 3D Object Detection
Wonhyeok Choi*, Mingyu Shin*, Sunghoon Im†
Neural Information Processing Systems (NeurIPS), 2023