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T2

ACCV

컴퓨터 비전 · 학회 · 논문 18편 · 연구실 14곳

연도별 논문

전체 · 논문 18편

20268편

  • DCR-TSF: Dual-Level Compositional Reasoning with Triadic Spherical Fusion for Training-Free Zero-Shot Composed Image Retrieval

    G.-H. Na, H.-J. Kim, S.-W. Lee

  • 이종석Yonsei

    Dominating vs. dominated: Concept-level generative collapse in diffusion models

    H. Jeong, J.-S. Lee

  • 이종석Yonsei

    DRIFT: Derailing denoising trajectories of flow-matching VLAs with adversarial patch attack

    H. Tae, J.-S. Lee

  • 이종석Yonsei

    Event-based scene synthesis via inter-frame residual alignment

    J. Kong, J.-H. Kim, J.-S. Lee

  • Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation

    Chaehun Shin, Jooyoung Choi, Johan Barthelemy, Jungbeom Lee, Sungroh Yoon

  • RGBD-to-3D Object Mesh Refinement via Depth Matching and Symmetry Propagation

    Ahyun Seo, Minsu Cho

  • 이종석Yonsei

    SLIM: Semantic-based low-bitrate image compression for machines

    H. Lee, J.-H. Kim, J.-S. Lee

  • VGGT-Bridge: Beyond Sequential Pose Graphs via Coarse-Stride Skip Edges

    Sungjae Choi, Hanna Bae, Sunghyun Baek and Junmo Kim

202410편

  • 김선주Yonsei

    CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment

    Daekyu Kwon, Dongyoung Kim, Sehwan Ki, Younghyun Jo, Hyong-Euk Lee, Seon Joo Kim

  • CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation

    Hyeonwoo Cho, Chanmin Park, Dong-hee Kim, Jinyoung Kim, Won Hwa Kim

  • Diffusion Model Compression for Image-to-Image Translation

    Geonung Kim, Beomsu Kim, Eunhyeok Park, Sunghyun Cho

  • Learning Dual Hierarchical Representation for 3D Surface Reconstruction

    Jiyoon Shin, Youngwook Kim, Sangwoo Hong and Jungwoo Lee

  • Match me if you can: Semantic Correspondence Learning with Unpaired Images

    Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han

  • 박은병Yonsei

    Parameter-Efficient Instance-Adaptive Neural Video Compression

    Seungjun Oh*, Hyunmo Yang*, Eunbyung Park

  • ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks

    Soosung Kim, Yeonhong Park, Hyunseung Lee, Sungchan Yi, and Jae W. Lee

  • RNA: Video Editing with ROI-based Neural Atlas

    Jaekyeong Lee*, Geonung Kim*, Sunghyun Cho

  • The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning

    Wonjun Jo, Kwon Byung-Ki, Kim Ji-Yeon, Hawook Jeong, Kyungdon Joo, Tae-Hyun Oh

  • 박상현Yonsei