% Key papers for Dataset condensation and flow estimation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_learned_15741,
  title = {{Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_aanet_15092,
  title = {{AANet: Adaptive Aggregation Network for Efficient Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_elic_18726,
  title = {{ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_in_14316,
  title = {{In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_gmflow_18901,
  title = {{GMFlow: Learning Optical Flow via Global Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_practical_19611,
  title = {{Practical Stereo Matching via Cascaded Recurrent Network With Adaptive Correlation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2016_d3_11458,
  title = {{D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_glu_15582,
  title = {{GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2021_revisiting_62754,
  title = {{Revisiting ResNets: Improved Training and Scaling Strategies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28371},
}

@inproceedings{neurips2019_volumetric_59190,
  title = {{Volumetric Correspondence Networks for Optical Flow}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13310},
}

@inproceedings{cvpr2021_bilateral_16648,
  title = {{Bilateral Grid Learning for Stereo Matching Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_adashare_59314,
  title = {{AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17824},
}

@inproceedings{cvpr2023_flowformer_21011,
  title = {{FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21946},
}

@inproceedings{iclr2018_towards_28538,
  title = {{Towards Image Understanding from Deep Compression Without Decoding}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/21},
}

@inproceedings{cvpr2024_selective_24778,
  title = {{Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30143},
}

@inproceedings{cvpr2021_autoflow_16618,
  title = {{AutoFlow: Learning a Better Training Set for Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2022_towards_2861,
  title = {{Towards Light-Weight and Real-Time Line Segment Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00726-towards-light-weight-and-real-time-line-segment-detection/},
}

@inproceedings{cvpr2016_patchbatch_11760,
  title = {{PatchBatch: A Batch Augmented Loss for Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_learning_17289,
  title = {{Learning Optical Flow From a Few Matches}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_slimmable_17914,
  title = {{Slimmable Compressive Autoencoders for Practical Neural Image Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_state_24887,
  title = {{State Space Models for Event Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29604},
}

@inproceedings{cvpr2024_schurvins_24753,
  title = {{SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29801},
}

@inproceedings{cvpr2024_mcnet_24057,
  title = {{MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31423},
}

@inproceedings{cvpr2024_pointbev_24484,
  title = {{PointBeV: A Sparse Approach for BeV Predictions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29825},
}

@inproceedings{aaai2024_recurrent_7081,
  title = {{Recurrent Partial Kernel Network for Efficient Optical Flow Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28224},
}

@inproceedings{cvpr2025_superlightnet_27776,
  title = {{SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34007},
}

@inproceedings{cvpr2024_generalized_23597,
  title = {{Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31408},
}

@inproceedings{aaai2025_heros_9384,
  title = {{HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35435},
}

@inproceedings{cvpr2024_memory_24134,
  title = {{Memory-Scalable and Simplified Functional Map Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31854},
}

@inproceedings{cvpr2024_svdinstn_24733,
  title = {{SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29912},
}

@inproceedings{cvpr2024_efficient_23335,
  title = {{Efficient Multitask Dense Predictor via Binarization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31729},
}

@inproceedings{cvpr2025_multimorph_27036,
  title = {{MultiMorph: On-demand Atlas Construction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34839},
}

@inproceedings{cvpr2024_real_24589,
  title = {{Real-Time Neural BRDF with Spherically Distributed Primitives}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31595},
}

@inproceedings{cvpr2024_masked_24117,
  title = {{Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31479},
}

@inproceedings{cvpr2025_deepcompress_25884,
  title = {{DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33707},
}

@inproceedings{aaai2025_m3net_9826,
  title = {{M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33940},
}

@inproceedings{aaai2025_popos_10249,
  title = {{POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32929},
}

@inproceedings{aaai2024_low_6552,
  title = {{Low-Latency Space-Time Supersampling for Real-Time Rendering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27982},
}

@inproceedings{aaai2025_homomatcher_9453,
  title = {{HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32857},
}