39 citations · 159 across the 37 of their papers we have counts for
7 papers · 1 filter
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Chanho Eom, Geon Lee, Junghyup Lee +1
Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras. Spatial and temporal distractors in per…
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
Hyunjong Park, Sanghoon Lee, Junghyup Lee +1
We address the problem of visible-infrared person re-identification (VI-reID), that is, retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal…
Distance-aware Quantization
Dohyung kim, Junghyup Lee, Bumsub Ham
We address the problem of network quantization, that is, reducing bit-widths of weights and/or activations to lighten network architectures. Quantization methods use a rounding fun…
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation
Donghyeon Baek, Youngmin Oh, Bumsub Ham
We address the problem of generalized zero-shot semantic segmentation (GZS3) predicting pixel-wise semantic labels for seen and unseen classes. Most GZS3 methods adopt a generative…
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Youngmin Oh, Beomjun Kim, Bumsub Ham
We address the problem of weakly-supervised semantic segmentation (WSSS) using bounding box annotations. Although object bounding boxes are good indicators to segment corresponding…
Network Quantization with Element-wise Gradient Scaling
Junghyup Lee, Dohyung Kim, Bumsub Ham
Network quantization aims at reducing bit-widths of weights and/or activations, particularly important for implementing deep neural networks with limited hardware resources. Most m…