Merge pull request #8 from qiyan98/master

Update two blog posts

Author: lrjconan

_posts/2025-08-17-cogen-motion.md

@@ -12,10 +12,11 @@ @InProceedings{huang2023vbench
  year={2024}
 }
 
-@techreport{liu2024fvmd,
+@article{liu2024fvmd,
   title={Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos},
   author={Liu, Jiahe and Qu, Youran and Yan, Qi and Zeng, Xiaohui and Wang, Lele and Liao, Renjie},
-  year={2024},
+  journal={arXiv preprint arXiv:2407.16124},
+  year={2024}
 }
 
 @article{dowson1982frechet,

_posts/2025-08-18-gen-graph.md

@@ -0,0 +1,146 @@
+@inproceedings{fu2025moflow,
+  title={Moflow: One-step flow matching for human trajectory forecasting via implicit maximum likelihood estimation based distillation},
+  author={Fu, Yuxiang and Yan, Qi and Wang, Lele and Li, Ke and Liao, Renjie},
+  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
+  pages={17282--17293},
+  year={2025}
+}
+
+@article{yan2025trajflow,
+  title={TrajFlow: Multi-modal Motion Prediction via Flow Matching},
+  author={Yan, Qi and Zhang, Brian and Zhang, Yutong and Yang, Daniel and White, Joshua and Chen, Di and Liu, Jiachao and Liu, Langechuan and Zhuang, Binnan and Shi, Shaoshuai and others},
+  journal={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems},
+  year={2025}
+}
+
+@inproceedings{ettinger2021large,
+  title={Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset},
+  author={Ettinger, Scott and Cheng, Shuyang and Caine, Benjamin and Liu, Chenxi and Zhao, Hang and Pradhan, Sabeek and Chai, Yuning and Sapp, Ben and Qi, Charles R and Zhou, Yin and others},
+  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
+  pages={9710--9719},
+  year={2021}
+}
+
+@inproceedings{chang2019argoverse,
+  title={Argoverse: 3d tracking and forecasting with rich maps},
+  author={Chang, Ming-Fang and Lambert, John and Sangkloy, Patsorn and Singh, Jagjeet and Bak, Slawomir and Hartnett, Andrew and Wang, De and Carr, Peter and Lucey, Simon and Ramanan, Deva and others},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={8748--8757},
+  year={2019}
+}
+
+@article{wilson2023argoverse,
+  title={Argoverse 2: Next generation datasets for self-driving perception and forecasting},
+  author={Wilson, Benjamin and Qi, William and Agarwal, Tanmay and Lambert, John and Singh, Jagjeet and Khandelwal, Siddhesh and Pan, Bowen and Kumar, Ratnesh and Hartnett, Andrew and Pontes, Jhony Kaesemodel and others},
+  journal={arXiv preprint arXiv:2301.00493},
+  year={2023}
+}
+
+@article{ivanovic2023trajdata,
+  title={trajdata: A unified interface to multiple human trajectory datasets},
+  author={Ivanovic, Boris and Song, Guanyu and Gilitschenski, Igor and Pavone, Marco},
+  journal={Advances in Neural Information Processing Systems},
+  volume={36},
+  pages={27582--27593},
+  year={2023}
+}
+
+@article{ho2020denoising,
+  title={Denoising diffusion probabilistic models},
+  author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
+  journal={Advances in neural information processing systems},
+  volume={33},
+  pages={6840--6851},
+  year={2020}
+}
+
+@article{lipman2022flow,
+  title={Flow matching for generative modeling},
+  author={Lipman, Yaron and Chen, Ricky TQ and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matt},
+  journal={arXiv preprint arXiv:2210.02747},
+  year={2022}
+}
+
+@inproceedings{jiang2023motiondiffuser,
+  title={Motiondiffuser: Controllable multi-agent motion prediction using diffusion},
+  author={Jiang, Chiyu and Cornman, Andre and Park, Cheolho and Sapp, Benjamin and Zhou, Yin and Anguelov, Dragomir and others},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={9644--9653},
+  year={2023}
+}
+
+@article{shi2022motion,
+  title={Motion transformer with global intention localization and local movement refinement},
+  author={Shi, Shaoshuai and Jiang, Li and Dai, Dengxin and Schiele, Bernt},
+  journal={Advances in Neural Information Processing Systems},
+  volume={35},
+  pages={6531--6543},
+  year={2022}
+}
+
+@inproceedings{hu2023planning,
+  title={Planning-oriented autonomous driving},
+  author={Hu, Yihan and Yang, Jiazhi and Chen, Li and Li, Keyu and Sima, Chonghao and Zhu, Xizhou and Chai, Siqi and Du, Senyao and Lin, Tianwei and Wang, Wenhai and others},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={17853--17862},
+  year={2023}
+}
+
+@inproceedings{zhou2023query,
+  title={Query-centric trajectory prediction},
+  author={Zhou, Zikang and Wang, Jianping and Li, Yung-Hui and Huang, Yu-Kai},
+  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
+  pages={17863--17873},
+  year={2023}
+}
+
+@inproceedings{ma2024sit,
+  title={Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers},
+  author={Ma, Nanye and Goldstein, Mark and Albergo, Michael S and Boffi, Nicholas M and Vanden-Eijnden, Eric and Xie, Saining},
+  booktitle={European Conference on Computer Vision},
+  pages={23--40},
+  year={2024},
+  organization={Springer}
+}
+
+@article{li2018implicit,
+  title={Implicit maximum likelihood estimation},
+  author={Li, Ke and Malik, Jitendra},
+  journal={arXiv preprint arXiv:1809.09087},
+  year={2018}
+}
+
+@inproceedings{li2019diverse,
+  title={Diverse image synthesis from semantic layouts via conditional imle},
+  author={Li, Ke and Zhang, Tianhao and Malik, Jitendra},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+  pages={4220--4229},
+  year={2019}
+}
+
+@article{goodfellow2020generative,
+  title={Generative adversarial networks},
+  author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
+  journal={Communications of the ACM},
+  volume={63},
+  number={11},
+  pages={139--144},
+  year={2020},
+  publisher={ACM New York, NY, USA}
+}
+
+@inproceedings{fan2017point,
+  title={A point set generation network for 3d object reconstruction from a single image},
+  author={Fan, Haoqiang and Su, Hao and Guibas, Leonidas J},
+  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
+  pages={605--613},
+  year={2017}
+}
+
+@inproceedings{seff2023motionlm,
+  title={Motionlm: Multi-agent motion forecasting as language modeling},
+  author={Seff, Ari and Cera, Brian and Chen, Dian and Ng, Mason and Zhou, Aurick and Nayakanti, Nigamaa and Refaat, Khaled S and Al-Rfou, Rami and Sapp, Benjamin},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+  pages={8579--8590},
+  year={2023}
+}

assets/bibliography/2024-06-20-fvmd-1.bib

@@ -0,0 +1,208 @@
+@misc{icml2024graphs,
+title={Tutorial on graph learning: Principles, challenges, and Open Directions}, 
+url={https://icml2024graphs.ameyavelingker.com/}, 
+journal={ICML 2024 Tutorial}, 
+author={Arnaiz-Rodríguez, Adrián and Velingker, Ameya},
+year={2024}
+}
+
+@inproceedings{jin2020hierarchical,
+  title={Hierarchical generation of molecular graphs using structural motifs},
+  author={Jin, Wengong and Barzilay, Regina and Jaakkola, Tommi},
+  booktitle={International conference on machine learning},
+  pages={4839--4848},
+  year={2020},
+  organization={PMLR}
+}
+
+@inproceedings{xu2017scene,
+  title={Scene graph generation by iterative message passing},
+  author={Xu, Danfei and Zhu, Yuke and Choy, Christopher B and Fei-Fei, Li},
+  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
+  pages={5410--5419},
+  year={2017}
+}
+
+@inproceedings{shirzad2022td,
+  title={Td-gen: graph generation using tree decomposition},
+  author={Shirzad, Hamed and Hajimirsadeghi, Hossein and Abdi, Amir H and Mori, Greg},
+  booktitle={International Conference on Artificial Intelligence and Statistics},
+  pages={5518--5537},
+  year={2022},
+  organization={PMLR}
+}
+
+@article{weininger1988smiles,
+  title={SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules},
+  author={Weininger, David},
+  journal={Journal of chemical information and computer sciences},
+  volume={28},
+  number={1},
+  pages={31--36},
+  year={1988},
+  publisher={ACS Publications}
+}
+
+@book{hamilton2020graph,
+  title={Graph representation learning},
+  author={Hamilton, William L},
+  year={2020},
+  publisher={Morgan & Claypool Publishers}
+}
+
+@article{lyle2020benefits,
+  title={On the benefits of invariance in neural networks},
+  author={Lyle, Clare and van der Wilk, Mark and Kwiatkowska, Marta and Gal, Yarin and Bloem-Reddy, Benjamin},
+  journal={arXiv preprint arXiv:2005.00178},
+  year={2020}
+}
+
+@article{bietti2021sample,
+  title={On the sample complexity of learning under geometric stability},
+  author={Bietti, Alberto and Venturi, Luca and Bruna, Joan},
+  journal={Advances in neural information processing systems},
+  volume={34},
+  pages={18673--18684},
+  year={2021}
+}
+
+@inproceedings{niu2020permutation,
+  title={Permutation invariant graph generation via score-based generative modeling},
+  author={Niu, Chenhao and Song, Yang and Song, Jiaming and Zhao, Shengjia and Grover, Aditya and Ermon, Stefano},
+  booktitle={International conference on artificial intelligence and statistics},
+  pages={4474--4484},
+  year={2020},
+  organization={PMLR}
+}
+
+@article{song2019generative,
+  title={Generative modeling by estimating gradients of the data distribution},
+  author={Song, Yang and Ermon, Stefano},
+  journal={Advances in neural information processing systems},
+  volume={32},
+  year={2019}
+}
+
+@article{song2020score,
+  title={Score-based generative modeling through stochastic differential equations},
+  author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben},
+  journal={arXiv preprint arXiv:2011.13456},
+  year={2020}
+}
+
+@inproceedings{jo2022score,
+  title={Score-based generative modeling of graphs via the system of stochastic differential equations},
+  author={Jo, Jaehyeong and Lee, Seul and Hwang, Sung Ju},
+  booktitle={International conference on machine learning},
+  pages={10362--10383},
+  year={2022},
+  organization={PMLR}
+}
+
+@article{vignac2022digress,
+  title={Digress: Discrete denoising diffusion for graph generation},
+  author={Vignac, Clement and Krawczuk, Igor and Siraudin, Antoine and Wang, Bohan and Cevher, Volkan and Frossard, Pascal},
+  journal={arXiv preprint arXiv:2209.14734},
+  year={2022}
+}
+
+@misc{wiki_Graph_isomorphism,
+   title = {Graph isomorphism},
+   journal = {Wikipedia},
+   year = {2025},
+   url = {https://en.wikipedia.org/wiki/Graph_isomorphism}
+ }
+
+ @misc{wiki_Permutation_matrix,
+   title = {Permutation matrix},
+   journal = {Wikipedia},
+   year = {2025},
+   url = {https://en.wikipedia.org/wiki/Permutation_matrix}
+ }
+
+ @misc{wiki_Graph_automorphism,
+   title = {Graph automorphism},
+   journal = {Wikipedia},
+   year = {2025},
+   url = {https://en.wikipedia.org/wiki/Graph_automorphism}
+ }
+
+ @article{yan2023swingnn,
+  title={Swingnn: Rethinking permutation invariance in diffusion models for graph generation},
+  author={Yan, Qi and Liang, Zhengyang and Song, Yang and Liao, Renjie and Wang, Lele},
+  journal={arXiv preprint arXiv:2307.01646},
+  year={2023}
+}
+
+@article{maron2019provably,
+  title={Provably powerful graph networks},
+  author={Maron, Haggai and Ben-Hamu, Heli and Serviansky, Hadar and Lipman, Yaron},
+  journal={Advances in neural information processing systems},
+  volume={32},
+  year={2019}
+}
+
+@inproceedings{liu2021swin,
+  title={Swin transformer: Hierarchical vision transformer using shifted windows},
+  author={Liu, Ze and Lin, Yutong and Cao, Yue and Hu, Han and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Guo, Baining},
+  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
+  pages={10012--10022},
+  year={2021}
+}
+
+@inproceedings{morris2019weisfeiler,
+  title={Weisfeiler and leman go neural: Higher-order graph neural networks},
+  author={Morris, Christopher and Ritzert, Martin and Fey, Matthias and Hamilton, William L and Lenssen, Jan Eric and Rattan, Gaurav and Grohe, Martin},
+  booktitle={Proceedings of the AAAI conference on artificial intelligence},
+  volume={33},
+  number={01},
+  pages={4602--4609},
+  year={2019}
+}
+
+@article{xu2024joint,
+  title={Joint generative modeling of scene graphs and images via diffusion models},
+  author={Xu, Bicheng and Yan, Qi and Liao, Renjie and Wang, Lele and Sigal, Leonid},
+  journal={arXiv preprint arXiv:2401.01130},
+  year={2024}
+}
+
+@article{liao2019efficient,
+  title={Efficient graph generation with graph recurrent attention networks},
+  author={Liao, Renjie and Li, Yujia and Song, Yang and Wang, Shenlong and Hamilton, Will and Duvenaud, David K and Urtasun, Raquel and Zemel, Richard},
+  journal={Advances in neural information processing systems},
+  volume={32},
+  year={2019}
+}
+
+@article{laabid2024equivariant,
+  title={Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models},
+  author={Laabid, Najwa and Rissanen, Severi and Heinonen, Markus and Solin, Arno and Garg, Vikas},
+  journal={arXiv preprint arXiv:2405.17656},
+  year={2024}
+}
+
+@article{abramson2024accurate,
+  title={Accurate structure prediction of biomolecular interactions with AlphaFold 3},
+  author={Abramson, Josh and Adler, Jonas and Dunger, Jack and Evans, Richard and Green, Tim and Pritzel, Alexander and Ronneberger, Olaf and Willmore, Lindsay and Ballard, Andrew J and Bambrick, Joshua and others},
+  journal={Nature},
+  volume={630},
+  number={8016},
+  pages={493--500},
+  year={2024},
+  publisher={Nature Publishing Group UK London}
+}
+
+@article{nordenfors2023optimization,
+  title={Optimization dynamics of equivariant and augmented neural networks},
+  author={Nordenfors, Oskar and Ohlsson, Fredrik and Flinth, Axel},
+  journal={arXiv preprint arXiv:2303.13458},
+  year={2023}
+}
+
+@article{nordenfors2025data,
+  title={Data Augmentation and Regularization for Learning Group Equivariance},
+  author={Nordenfors, Oskar and Flinth, Axel},
+  journal={arXiv preprint arXiv:2502.06547},
+  year={2025}
+}