Vipul Pandey

13 papers B 1C 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision. CoRR Yi Cao, Swetava Ganguli, Vipul Pandey
2023	—	`conf`	SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. SIGSPATIAL/GIS Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2023	J	`jnl`	SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. CoRR Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2023	C	`conf`	Self-Supervised Temporal Analysis of Spatiotemporal Data. IGARSS Yi Cao, Swetava Ganguli, Vipul Pandey
2023	J	`jnl`	Self-Supervised Temporal Analysis of Spatiotemporal Data. CoRR Yi Cao, Swetava Ganguli, Vipul Pandey
2022	B	`conf`	Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision. MDM Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2022	J	`jnl`	Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision. CoRR Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2021	J	`jnl`	Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs. CoRR Xuerong Xiao, Swetava Ganguli, Vipul Pandey
2021	J	`jnl`	Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision. CoRR Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
2021	—	`conf`	Trinity: A No-Code AI platform for complex spatial datasets. GeoAI@SIGSPATIAL C. V. Krishnakumar Iyer, Feili Hou, Henry Wang, Yonghong Wang, Kay Oh, Swetava Ganguli, Vipul Pandey
2021	J	`jnl`	Trinity: A No-Code AI platform for complex spatial datasets. CoRR C. V. Krishnakumar Iyer, Feili Hou, Henry Wang, Yonghong Wang, Kay Oh, Swetava Ganguli, Vipul Pandey
2020	J	`jnl`	VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs. CoRR Xuerong Xiao, Swetava Ganguli, Vipul Pandey
2020	—	`conf`	VAE-Info-cGAN: generating synthetic images by combining pixel-level and feature-level geospatial conditional inputs. IWCTS@SIGSPATIAL Xuerong Xiao, Swetava Ganguli, Vipul Pandey