Soyyigit, Ahmet, Yao, Shuochao, and Yun, Heechul. VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks. Retrieved from https://par.nsf.gov/biblio/10639739. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 43.11 Web. doi:10.1109/TCAD.2024.3443774.

Soyyigit, Ahmet, Yao, Shuochao, & Yun, Heechul. VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43 (11). Retrieved from https://par.nsf.gov/biblio/10639739. https://doi.org/10.1109/TCAD.2024.3443774

Soyyigit, Ahmet, Yao, Shuochao, and Yun, Heechul. "VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks". IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 43 (11). Country unknown/Code not available: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume 43, Issue 11. https://doi.org/10.1109/TCAD.2024.3443774. https://par.nsf.gov/biblio/10639739.

@article{osti_10639739,
place = {Country unknown/Code not available}, title = {VALO: A Versatile Anytime Framework for LiDAR-Based Object Detection Deep Neural Networks}, url = {https://par.nsf.gov/biblio/10639739}, DOI = {10.1109/TCAD.2024.3443774}, abstractNote = {Not Available}, journal = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems}, volume = {43}, number = {11}, publisher = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume 43, Issue 11}, author = {Soyyigit, Ahmet and Yao, Shuochao and Yun, Heechul}, }