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MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.

, , , , , , and . CVPR, page 9356-9364. Computer Vision Foundation / IEEE, (2019)

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Scalable Hardware Acceleration of Non-Maximum Suppression., , , , , , and . DATE, page 96-99. IEEE, (2022)Sub-10nm Ultra-thin ZnO Channel FET with Record-High 561 µA/µm ION at VDS 1V, High µ-84 cm2/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing., , , , , , , , and . VLSI Technology and Circuits, page 326-327. IEEE, (2022)MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors., , , , , , and . CVPR, page 9356-9364. Computer Vision Foundation / IEEE, (2019)N3XT Monolithic 3D Energy-Efficient Computing Systems.. ACM Great Lakes Symposium on VLSI, page 463. ACM, (2019)Rate-Distortion Optimized Coding for Efficient CNN Compression., , , , , and . DCC, page 253-262. IEEE, (2021)A 43pJ/Cycle Non-Volatile Microcontroller with 4.7μs Shutdown/Wake-up Integrating 2.3-bit/Cell Resistive RAM and Resilience Techniques., , , , , , , , , and 6 other author(s). ISSCC, page 226-228. IEEE, (2019)TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks., , , , , , and . ISLPED, page 1-6. IEEE, (2019)RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization., , , , and . ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 157-172. Springer, (2022)Efficient Tunstall Decoder for Deep Neural Network Compression., , , , and . DAC, page 1021-1026. IEEE, (2021)Fledge: Flexible Edge Platforms Enabled by In-memory Computing., , , , , , , , and . DATE, page 1181-1186. IEEE, (2020)