TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models Pum Jun Kim, Yoojin Jang, Jisu Kim, Jaejun Yoo We propose a robust and reliable evaluation metric for generative models by introducing topological and statistical treatments for rigorous support estimation. Existing metrics, such as Inception Score (IS),...
Can We Find Strong Lottery Tickets in Generative Models? Authors : Sangyeop Yeo , Yoojin Jang , Jy-yong Sohn , Dongyoon Han , Jaejun Yoo Abstract Yes. In this paper, we investigate strong lottery tickets in generative models, the subnetworks that achieve good generative performance without any weight update....
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction? Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee After many researchers observed fruitfulness from the recent diffusion probabilistic model, its effectiveness in image generation is actively studied these days. In this paper, our objective is to evaluate the potential of...
Transformer-Based Unified Recognition of Two Hands Manipulating Objects CVPR 2023 · Hoseong Cho, Chanwoo Kim, Jihyeon Kim, Seongyeong Lee, Elkhan Ismayilzada, Seungryul Baek · Edit social preview Understanding the hand-object interactions from an egocentric video has received a great attention recently. So far, most approaches are based on the convolutional neural network (CNN) features combined with...
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation Seongyeong Lee, Hansoo Park, Dong Uk Kim, Jihyeon Kim, Muhammadjon Boboev, Seungryul Baek RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale databases and deep learning. However, the hand pose estimation network does not operate well for hand...
BoIR: Box-Supervised Instance Representation for Multi-Person Pose Estimation Uyoung Jeong, Seungryul Baek, Hyung Jin Chang, Kwang In Kim Single-stage multi-person human pose estimation (MPPE) methods have shown great performance improvements, but existing methods fail to disentangle features by individual instances under crowded scenes. In this paper, we propose a bounding...
Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations Jihyoung Jang, Minseong Boo, Hyounghun Kim Abstract In the field of natural language processing, open-domain chatbots have emerged as an important research topic. However, a major limitation of existing open-domain chatbot research is its singular focus on short single-session...
Generating Realistic Images from In-the-wild Sounds Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim Representing wild sounds as images is an important but challenging task due to the lack of paired datasets between sound and images and the significant differences in the characteristics of these two modalities. Previous studies have...
Semi-parametric contextual pricing algorithm using cox proportional hazards model Authors: Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh Abstract Contextual dynamic pricing is a problem of setting prices based on current contextual information and previous sales history to maximize revenue. A popular...
Heavy-tailed linear bandit with huber regression Authors: Minhyun Kang, Gi-Soo Kim ABSTRACT Linear bandit algorithms have been extensively studied and have shown successful in sequential decision tasks despite their simplicity. Many algorithms however work under the assumption that the reward is the sum of linear function...
