CATs++: Boosting Cost Aggregation with Convolutions and Transformers

14 February 2022

Papers citing "CATs++: Boosting Cost Aggregation with Convolutions and Transformers"

31 / 31 papers shown

Title
D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes Jisang Han Honggyu An Jaewoo Jung Takuya Narihira Junyoung Seo Kazumi Fukuda Chaehyun Kim Sunghwan Hong Yuki Mitsufuji Seungryong Kim 38 0 0 08 Apr 2025
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM Heeji Yoon Heeseong Shin Eunbeen Hong Hyunwook Choi Hansang Cho Daun Jeong Seungryong Kim 22 0 0 07 Apr 2025
SemAlign3D: Semantic Correspondence between RGB-Images through Aligning 3D Object-Class Representations Krispin Wandel Hesheng Wang 3DV 3DPC 67 0 0 28 Mar 2025
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification Earl Ranario Lars Lundqvist Heesup Yun Brian N Bailey J. M. Earles VLM 33 0 0 27 Mar 2025
MATCHA:Towards Matching Anything Fei Xue Sven Elflein Laura Leal-Taixe Qunjie Zhou 45 0 0 28 Jan 2025
Cross-View Completion Models are Zero-shot Correspondence Estimators Honggyu An J. Kim Seonghoon Park Jaewoo Jung Jisang Han Sunghwan Hong Seungryong Kim 3DV 73 3 0 12 Dec 2024
Distillation of Diffusion Features for Semantic Correspondence Frank Fundel Johannes Schusterbauer Vincent Tao Hu Bjorn Ommer DiffM 87 3 0 04 Dec 2024
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting Sunghwan Hong Jaewoo Jung Heeseong Shin Jisang Han Jiaolong Yang Chong Luo Seungryong Kim 3DGS 23 8 0 29 Oct 2024
Local All-Pair Correspondence for Point Tracking Seokju Cho Jiahui Huang Jisu Nam Honggyu An Seungryong Kim Joon-Young Lee 19 26 0 22 Jul 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence Sung‐Jin Hong Seokju Cho Seungryong Kim Stephen Lin ViT 45 5 0 17 Mar 2024
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization Jisu Nam Heesu Kim Dongjae Lee Siyoon Jin Seungryong Kim Seunggyu Chang DiffM 16 40 0 15 Feb 2024
Match me if you can: Semantic Correspondence Learning with Unpaired Images Jiwon Kim Byeongho Heo Sangdoo Yun Seungryong Kim Dongyoon Han 20 0 0 30 Nov 2023
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence Junyi Zhang Charles Herrmann Junhwa Hur Eric Chen Varun Jampani Deqing Sun Ming-Hsuan Yang 19 37 0 28 Nov 2023
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation Lingchen Meng Shiyi Lan Hengduo Li Jose M. Alvarez Zuxuan Wu Yu-Gang Jiang VLM ISeg MLLM 17 6 0 24 Nov 2023
Cross-Image Attention for Zero-Shot Appearance Transfer Yuval Alaluf Daniel Garibi Or Patashnik Hadar Averbuch-Elor Daniel Cohen-Or DiffM 17 66 0 06 Nov 2023
Learning Space-Time Semantic Correspondences Du Tran Jitendra Malik 17 0 0 16 Jun 2023
DocAligner: Annotating Real-world Photographic Document Images by Simply Taking Pictures Jiaxin Zhang Bangdong Chen Hiuyi Cheng Fengjun Guo Kai Ding Lianwen Jin 13 6 0 09 Jun 2023
Learning Probabilistic Coordinate Fields for Robust Correspondences Weiyue Zhao Hao Lu Xinyi Ye Zhiguo Cao Xin Li 22 6 0 07 Jun 2023
Diffusion Model for Dense Matching Jisu Nam Gyuseong Lee Sunwoo Kim Ines Hyeonsu Kim Hyoungwon Cho Seyeong Kim Seung Wook Kim DiffM 13 1 0 30 May 2023
Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin Gopal Sharma Shweta Mahajan Hossam N. Isack Abhishek Kar Andrea Tagliasacchi K. M. Yi DiffM 16 86 0 24 May 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence Junyi Zhang Charles Herrmann Junhwa Hur Luisa Polania Cabrera Varun Jampani Deqing Sun Ming Yang DiffM 9 84 0 24 May 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo Lisa Dunlap Dong Huk Park Aleksander Holynski Trevor Darrell 15 118 0 23 May 2023
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation Seokju Cho Heeseong Shin Sung‐Jin Hong Anurag Arnab Paul Hongsuck Seo Seung Wook Kim VLM 17 88 0 21 Mar 2023
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence Sung‐Jin Hong Jisu Nam Seokju Cho Susung Hong Sangryul Jeon Dongbo Min Seung Wook Kim 3DV 11 16 0 06 Oct 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation Junyoung Seo Gyuseong Lee Seokju Cho Jiyoung Lee Seung Wook Kim DiffM 19 27 0 22 Sep 2022
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence Sunghwan Hong Seokju Cho Seung Wook Kim Stephen Lin 3DV 36 4 0 19 Sep 2022
Token Pooling in Vision Transformers D. Marin Jen-Hao Rick Chang Anurag Ranjan Anish K. Prabhu Mohammad Rastegari Oncel Tuzel ViT 65 65 0 08 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Learning Accurate Dense Correspondences and When to Trust Them Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 3DH 3DPC 58 125 0 05 Jan 2021
TransTrack: Multiple Object Tracking with Transformer Pei Sun Jinkun Cao Yi-Xin Jiang Rufeng Zhang Enze Xie Zehuan Yuan Changhu Wang Ping Luo ViT VOT 241 555 0 31 Dec 2020