1 citations · 1 across the 7 of their papers we have counts for
7 papers
WarpI2I: Image Warping for Image-to-Image Translation
Shen Zheng, Anurag Ghosh, Gaurav Parmar +1
Image-to-image (I2I) translation has achieved strong results in tasks like human relighting and driving scene translation using latent diffusion models (LDMs). However, compact LDM…
Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos
Anurag Ghosh, Francesco Pittaluga, Khiem Vuong +4
Self-driving simulations typically rely on data collected in a small number of cities or on hand-authored synthetic scenarios. Dashcam videos cover a far broader range of locations…
Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models
Sagar Bharadwaj, Ziyong Ma, Anurag Ghosh +2
3D scene understanding spans reasoning about free space, object grounding, hypothetical object insertions, complex geometric relationships, and integrating all of these with extern…
RAD-LAD: Rule and Language Grounded Autonomous Driving in Real-Time
Anurag Ghosh, Srinivasa Narasimhan, Manmohan Chandraker +1
We present LAD, a real-time language--action planner with an interruptible architecture that produces a motion plan in a single forward pass (~20 Hz) or generates textual reasoning…
AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis
Khiem Vuong, Anurag Ghosh, Deva Ramanan +2
We explore the task of geometric reconstruction of images captured from a mixture of ground and aerial views. Current state-of-the-art learning-based approaches fail to handle the…
ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Anurag Ghosh, Shen Zheng, Robert Tamburo +7
Perceiving and autonomously navigating through work zones is a challenging and underexplored problem. Open datasets for this long-tailed scenario are scarce. We propose the ROADWor…
Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation
Shen Zheng, Anurag Ghosh, Srinivasa G. Narasimhan
Driving is challenging in conditions like night, rain, and snow. Lack of good labeled datasets has hampered progress in scene understanding under such conditions. Unsupervised Doma…