Due to the extremely low latency, events have been recently exploited to...
In this paper, we introduce two local graph features for missing link
pr...
The legged robots with variable stiffness actuators (VSAs) can achieve
e...
Wheeled bipedal robots have the capability to execute agile and versatil...
Event-based motion deblurring has shown promising results by exploiting
...
The stereo event-intensity camera setup is widely applied to leverage th...
In this paper, we generalize the log-Sobolev inequalities to Rényi–Sobol...
Humans often make creative use of words to express novel senses. A
long-...
Detecting arbitrarily oriented tiny objects poses intense challenges to
...
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...
This paper aims at demystifying a single motion-blurred image with event...
Super-Resolution from a single motion Blurred image (SRB) is a severely
...
This work studies discrete diffusion probabilistic models with applicati...
Decision forest, including RandomForest, XGBoost, and LightGBM, is one o...
Nonconvex optimization plays a key role in multi-user information theory...
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
After just a few hundred training updates, a standard probabilistic mode...
Traffic forecasting is an important application of spatiotemporal series...
Although synthetic aperture imaging (SAI) can achieve the seeing-through...
The union-closed sets conjecture states that in any nonempty union-close...
Making line segment detectors more reliable under motion blurs is one of...
Common information (CI) is ubiquitous in information theory and related ...
This paper illustrates the power of the entropy method in addressing pro...
Detecting tiny objects is one of the main obstacles hindering the develo...
We introduce a new distributed policy gradient algorithm and show that i...
Tiny object detection (TOD) in aerial images is challenging since a tiny...
The challenge of the cloud removal task can be alleviated with the aid o...
In this paper, we provide variational formulas for the asymptotic expone...
Humans can flexibly extend word usages across different grammatical clas...
Extracting building footprints from aerial images is essential for preci...
This work addresses the Burst Super-Resolution (BurstSR) task using a ne...
Rate-distortion-perception theory generalizes Shannon's rate-distortion
...
Focus control (FC) is crucial for cameras to capture sharp images in
cha...
Slow shutter speed and long exposure time of frame-based cameras often c...
We introduce Backpropagation Through Time and Space (BPTTS), a method fo...
We introduce an adaptive tree search algorithm, that can find high-scori...
In this paper, we tackle the problem of blind image super-resolution(SR)...
With the recent advances of deep learning techniques, there are rapidly
...
The channel synthesis problem has been widely investigated over the last...
There are significant benefits to serve deep learning models from relati...
Detecting tiny objects is a very challenging problem since a tiny object...
In this paper, we propose an end-to-end learning framework for event-bas...
Natural language relies on a finite lexicon to express an unbounded set ...
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
We propose a new architecture for adapting a sentence-level
sequence-to-...
In this paper, we prove that for the doubly symmetric binary distributio...
Let 𝐗 be a random variable uniformly distributed on the discrete
cube { ...
Direct decoding for task-oriented dialogue is known to suffer from the
e...
Synthetic aperture imaging (SAI) is able to achieve the see through effe...
In this paper, we derive sharp nonlinear dimension-free Brascamp-Lieb
in...