Sharma, Gopal, Dash, Bidya, RoyChowdhury, Aruni, Gadelha, Matheus, Loizou, Marios, Cao, LiangLiang, Wang, Rui, Learned-Miller Erik, Maji, Subhransu, and Kalogerakis, Evangelos. PRIFIT: Learning to Fit Primitives Improves Few-Shot Point Cloud Segmentation. Retrieved from https://par.nsf.gov/biblio/10347715. Eurographics Symposium on Geometry Processing 41.5

Sharma, Gopal, Dash, Bidya, RoyChowdhury, Aruni, Gadelha, Matheus, Loizou, Marios, Cao, LiangLiang, Wang, Rui, Learned-Miller Erik, Maji, Subhransu, & Kalogerakis, Evangelos. PRIFIT: Learning to Fit Primitives Improves Few-Shot Point Cloud Segmentation. Eurographics Symposium on Geometry Processing, 41 (5). Retrieved from https://par.nsf.gov/biblio/10347715.

Sharma, Gopal, Dash, Bidya, RoyChowdhury, Aruni, Gadelha, Matheus, Loizou, Marios, Cao, LiangLiang, Wang, Rui, Learned-Miller Erik, Maji, Subhransu, and Kalogerakis, Evangelos. "PRIFIT: Learning to Fit Primitives Improves Few-Shot Point Cloud Segmentation". Eurographics Symposium on Geometry Processing 41 (5). Country unknown/Code not available: SGP. https://par.nsf.gov/biblio/10347715.

@article{osti_10347715,
place = {Country unknown/Code not available}, title = {PRIFIT: Learning to Fit Primitives Improves Few-Shot Point Cloud Segmentation}, url = {https://par.nsf.gov/biblio/10347715}, abstractNote = {}, journal = {Eurographics Symposium on Geometry Processing}, volume = {41}, number = {5}, publisher = {SGP}, author = {Sharma, Gopal and Dash, Bidya and RoyChowdhury, Aruni and Gadelha, Matheus and Loizou, Marios and Cao, LiangLiang and Wang, Rui and Learned-Miller Erik and Maji, Subhransu and Kalogerakis, Evangelos}, }