Search Results for author:
Found 16 papers, 7 papers with code
SnAG: Scalable and Accurate Video Grounding
In this paper, we study the effect of cross-modal fusion on the scalability of video grounding models.
Towards 3D Vision with Low-Cost Single-Photon Cameras
We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on measurements by miniature, energy-efficient, low-cost single-photon cameras.
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
An emerging solution with recent success in vision and NLP involves finetuning a foundation model on a selection of relevant tasks, before its adaptation to a target task with limited labeled samples.
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
Recent approaches such as ControlNet offer users fine-grained spatial control over text-to-image (T2I) diffusion models.
Towards 4D Human Video Stylization
To overcome these limitations, we leverage Neural Radiance Fields (NeRFs) to represent videos, conducting stylization in the rendered feature space.
NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023
This report describes our submission to the Ego4D Moment Queries Challenge 2023.
SimHaze: game engine simulated data for real-world dehazing
Using a modern game engine, our approach renders crisp clean images and their precise depth maps, based on which high-quality hazy images can be synthesized for training dehazing models.
GLIGEN: Open-Set Grounded Text-to-Image Generation
Large-scale text-to-image diffusion models have made amazing advances.
Ranked #4 on
Conditional Text-to-Image Synthesis
on COCO-MIG
Learned Compressive Representations for Single-Photon 3D Imaging
Single-photon 3D cameras can record the time-of-arrival of billions of photons per second with picosecond accuracy.
Where a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge
This report describes our submission to the Ego4D Moment Queries Challenge 2022.
Ranked #1 on
Temporal Action Localization
on Ego4D MQ test
A Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
This report describes Badgers@UW-Madison, our submission to the Ego4D Natural Language Queries (NLQ) Challenge.
Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging, is becoming a reality thanks to major advances in imaging hardware and reconstruction algorithms.
SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles
In this paper, we ask, and answer, the wide-ranging question across all MBODFs: How to expose the right set of execution branches and then how to schedule the optimal one at inference time?
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image
Our key intuition is that style transfer and view synthesis have to be jointly modeled for this task.
Towards Non-Line-of-Sight Photography
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce indirect reflections from the hidden objects.
Gradients as Features for Deep Representation Learning
We address the challenging problem of deep representation learning--the efficient adaption of a pre-trained deep network to different tasks.
