1 citations · 1 across the 6 of their papers we have counts for
7 papers
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
Seungjae Lee, Daniel Ekpo, Haowen Liu +3
Exploration is essential for general-purpose robotic learning, especially in open-ended environments where dense rewards, explicit goals, or task-specific supervision are scarce. V…
CoLLM: A Large Language Model for Composed Image Retrieval
Chuong Huynh, Jinyu Yang, Ashish Tawari +5
Composed Image Retrieval (CIR) is a complex task that aims to retrieve images based on a multimodal query. Typical training data consists of triplets containing a reference image,…
Video Decomposition Prior: A Methodology to Decompose Videos into Layers
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
In the evolving landscape of video enhancement and editing methodologies, a majority of deep learning techniques often rely on extensive datasets of observed input and ground truth…
Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction
Gaurav Shrivastava, Abhinav Shrivastava
Diffusion models have made significant strides in image generation, mastering tasks such as unconditional image synthesis, text-image translation, and image-to-image conversions. H…
Efficient Continuous Video Flow Model for Video Prediction
Gaurav Shrivastava, Abhinav Shrivastava
Multi-step prediction models, such as diffusion and rectified flow models, have emerged as state-of-the-art solutions for generation tasks. However, these models exhibit higher lat…
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
Sharath Girish, Tianye Li, Amrita Mazumdar +3
Online free-viewpoint video (FVV) streaming is a challenging problem, which is relatively under-explored. It requires incremental on-the-fly updates to a volumetric representation,…