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divyam goel search divyam goel divyam goel home news experience achievements publications light dark automatic divyam goel biography hi i am a second year ms in robotics student at robotics institute carnegie mellon university i am fortunate to be co advised by prof zackory erickson and prof david held prior to coming to cmu i spent two wonderful years working on text to video generation models at adobe and rephrase ai now part of adobe concurrently i was a research assistant at the 3d language group at sfu working with prof angel chang even earlier i received a b tech in e ce from iit roorkee my research focuses on robot manipulation policy evaluation and geometry aware methods for perception and control interests computer vision robot learning robotics education ms in robotics 2026 carnegie mellon university b tech in electronics and communications engineering 2022 indian institute of technology roorkee news nov 2025 semlayoutdiff accepted at 3dv 2026 aug 2025 our work on geometric red teaming for robotic manipulation has been accepted at corl 2025 and selected for an oral presentation aug 2025 new paper semlayoutdiff on arxiv aug 2024 headed to carnegie mellon university for my graduate studies in robotics mar 2024 paper titled semi nmf regularization based autoencoder training for hyperspectral unmixing accepted at ncc 2024 nov 2023 rephrase ai gets acquired by adobe i will be joining adobe dva as a machine learning engineer following the acquisition june 2023 joined prof angel x chang s lab at sfu as a research assistant apr 2023 promoted to deep learning researcher at rephrase ai june 2022 joined rephrase ai as a deep learning junior researcher june 2022 paper titled language guided meta control for embodied instruction following accepted at the embodied ai workshop cvpr 2022 preprint coming soon may 2022 paper titled leveraging dependency grammar for fine grained offensive language detection using graph convolutional networks accepted at socialnlp naacl 2022 preprint coming soon mar 2022 paper on the cross modal transfer from natural language to code through adapter modules accepted at icpc 2022 preprint coming soon feb 2022 recipient of the iit roorkee heritage foundation excellence award for 2021 july 2021 joined prof jonghyun choi s gist computer vision lab south korea virtually as a research assistant june 2021 headed to prof fatemeh h fard s lab at ubc canada virtually to work as a mitacs globalink research intern dec 2020 selected for the prestigious mitacs globalink research internship 2021 july 2020 will be working at pandocorp as a research intern this fall in their machine learning research lab pando labs mar 2020 recipient of the iit roorkee heritage foundation excellence award for 2019 apr 2019 selected for the quantum computing summer training organized by qulabs recent publications quickly discover relevant content by filtering publications geometric red teaming for robotic manipulation conference on robot learning corl 2025 oral presentation selection rate 5 7 divyam goel yufei wang tiancheng wu helen qiao pavel piliptchak david held zackory erickson pdf code project semlayoutdiff semantic layout generation with diffusion model for indoor scene synthesis international conference on 3d vision 3dv 2026 xiahao sun divyam goel angel x chang pdf code project semi nmf regularization based autoencoder training for hyperspectral unmixing 30th national conference on communications ncc 24 divyam goel saurabh khanna pdf language guided meta control for embodied instruction following embodied ai workshop cvpr 2022 the 2nd embodied ai workshop eai 22 divyam goel kunal pratap singh jonghyun choi pdf poster leveraging dependency grammar for fine grained offensive language detection using graph convolutional networks socialnlp naacl 2022 the 10th international workshop on natural language processing for social media socialnlp 22 divyam goel raksha sharma pdf code see all publications experience machine learning engineer l2 adobe nov 2023 jul 2024 bangalore india worked on the research and development of adobe s family of genai models firefly designed sampling methods using sequential monte carlo methods and langevin dynamics to generate highly accurate sampled from large pre trained diffusion models for several downstream tasks research assistant 3d language group simon fraser university jun 2023 jul 2024 burnaby canada virtually worked on the research and development of generative models for the task of 3d scene generation submitted a work proposing a 3d scene layout generation framework semlayoutdiff using a denoising diffusion probabilistic model along with an attribute prediction network to generate semantic layouts using the 3d front dataset designed novel cost functions to implicitly impose ergonomic design constraints within the learned space of a diffusion model for the task of 3d scene layout generation deep learning researcher rephrase ai jun 2022 nov 2023 bangalore india my research focused on tractable generative models for speech ai and computer vision enriched rephrase ai s proprietary video generation pipeline expanding its global outreach by enhancing avatar capabilities for multilingual applications collaborated closely with devops engineers to efficiently deploy models on aws optimizing the generation pipeline to enable the creation of over 100k personalized videos daily spearheaded a text to speech initiative developing a voice cloning system from limited speech data also devised a speech restoration pipeline to extract clean speech audios of the source speaker from extremely low quality noisy inputs research assistant gist computer vision lab jul 2021 dec 2022 gwangju south korea virtually authored a publication in embodiedai at extbf cvpr 2022 and submitted a subsequent paper to a top tier conference architected an implicit hierarchical learning system that integrates an auxiliary reasoning loss to enhance cross modal grounding enabling embodied agents to learn robust task agnostic representations from human dialogue submitted a work proposing a story visualization framework smart using a multi stage multi modal transformer with in memory spatio temporal context and a discretized variational autoencoder mitacs globalink research intern university of british columbia jun 2021 sep 2021 kelowna canada virtually published and presented a research paper at icpc 2022 achieved 140 better parameter budget and 95 efficient storage in adapting foundational llms to source code built the super code clone detection 88 scd 88 dataset to evaluate the proposed approach on python specific code clone detection research and development intern pando labs pandocorp plc aug 2020 nov 2020 chennai india i worked on developing a practical deep reinforcement learning solution to optimize shipping costs in the supply chain industry achieved 85 packing efficiency in 3d bin packing and 50 cost efficiency in capacitative vehicle routing over existing solutions using off policy agents in simulated environments re architected a heuristic algorithm to improve efficiency and allow parallelised operations on gpus undergraduate student researcher machine vision lab dec 2019 mar 2020 iit roorkee worked under the supervision of prof balasubramanian raman on a project titled medical image segmentation and classification problems achievements iit roorkee heritage foundation excellence award 2021 iit roorkee heritage foundation feb 2022 awarded to 45 students from a pool of over 5000 undergraduates the excellence awards recognize students for outstanding academic co curricular and extra curricular achievements see certificate mitacs globalink research internship mitacs apr 2021 selected for the prestigious mitacs globalink research internship 2021 program the mitacs sici partnership awards this research grant to top international undergraduates for a research internship under the supervision of canadian university faculty members see certificate iit roorkee heritage foundation excellence award 2019 iit roorkee heritage foundation mar 2020 awarded to 45 students from a pool of over 5000 undergraduates the excellence awards recognize students for outstanding academic co curricular and extra curricular achievements see certificate quantum computing summer training qulabs apr 2019 among the 15 students selected for the quantum computing summer training 2019 the course comprised of intensive lectures on linear algebra quantum mechanics and topics in quantum computation including entanglement multi qubit computation quantum key distribution and quantum algorithms published with wowchemy the free open source website builder that empowers creators cite copy download