This paper studies the challenging problem of recovering motion from blur, also known as
joint deblurring and interpolation or blur temporal super-resolution. The challenges are …

Recent image restoration methods have produced significant advancements using deep
learning. However, existing methods tend to treat the whole image as a single entity, failing …

Most model-free visual object tracking methods formulate the tracking task as object location
estimation given by a 2D segmentation or a bounding box in each video frame. We argue …

Blurry appearance of fast moving objects in video frames was successfully used to
reconstruct the object appearance and motion in both 2D and 3D domains. The proposed …

Moving objects are frequently seen in daily life and usually appear blurred in images due to
their motion. While general object retrieval is a widely explored area in computer vision, it …

We propose a method to estimate 3D human poses from substantially blurred images. The
key idea is to tackle the inverse problem of image deblurring by modeling the forward …

We present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp
reconstructions from motion-blurred inputs. The proposed method bridges the strengths of …