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20232026
most citedSDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection

4 citations · 5 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

Text2Relight: Creative Portrait Relighting with Text Guidance

Junuk Cha, Mengwei Ren, Krishna Kumar Singh +6

We present a lighting-aware image editing pipeline that, given a portrait image and a text prompt, performs single image relighting. Our model modifies the lighting and color of bo…

cs.CV2024

1st Place Solution to the 8th HANDS Workshop Challenge -- ARCTIC Track: 3DGS-based Bimanual Category-agnostic Interaction Reconstruction

Jeongwan On, Kyeonghwan Gwak, Gunyoung Kang +5

This report describes our 1st place solution to the 8th HANDS workshop challenge (ARCTIC track) in conjunction with ECCV 2024. In this challenge, we address the task of bimanual ca…

cs.CV2024★ 1 cited

Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction

Junuk Cha, Jihyeon Kim, Jae Shin Yoon +1

This paper introduces the first text-guided work for generating the sequence of hand-object interaction in 3D. The main challenge arises from the lack of labeled data where existin…

cs.CV2024

Exploiting Style Latent Flows for Generalizing Deepfake Video Detection

Jongwook Choi, Taehoon Kim, Yonghyun Jeong +2

This paper presents a new approach for the detection of fake videos, based on the analysis of style latent vectors and their abnormal behavior in temporal changes in the generated…

cs.CV2024

VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model

Junsu Kim, Yunhoe Ku, Jihyeon Kim +2

In the field of Class Incremental Object Detection (CIOD), creating models that can continuously learn like humans is a major challenge. Pseudo-labeling methods, although initially…

cs.CV2024★ 4 cited

SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection

Junsu Kim, Hoseong Cho, Jihyeon Kim +2

In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous…