1 citations · 1 across the 6 of their papers we have counts for
6 papers
Graded-Relevance Composed Multimodal Retrieval for E-commerce Visual Search at Scale
Anubhav Gupta, Hrushikesh Mohapatra, Prijith Chandra +6
Visual search on large e-commerce catalogs must serve both "similarity" queries that ask for items resembling an uploaded image and "modifier" queries that comprise an image and te…
VidParse: Online Parsing of Egocentric Procedures Like a Pro
Anubhav Gupta, Archit Kambhamettu, Vatsal Agarwal +2
Translating continuous, noisy egocentric video streams into discrete, temporally ordered action steps is fraught with visual challenges. Heavy ego-motion, transient occlusions, and…
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
Shuaiyi Huang, Mara Levy, Anubhav Gupta +3
Preference feedback collected by human or VLM annotators is often noisy, presenting a significant challenge for preference-based reinforcement learning that relies on accurate pref…
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation
Archana Swaminathan, Anubhav Gupta, Kamal Gupta +3
Neural Radiance Fields (NeRFs) have revolutionized the reconstruction of static scenes and objects in 3D, offering unprecedented quality. However, extending NeRFs to model dynamic…
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
Shishira R Maiya, Anubhav Gupta, Matthew Gwilliam +2
Implicit Neural Networks (INRs) have emerged as powerful representations to encode all forms of data, including images, videos, audios, and scenes. With video, many INRs for video…
Measuring Style Similarity in Diffusion Models
Gowthami Somepalli, Anubhav Gupta, Kamal Gupta +5
Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data durin…